Artificial IntelligenceThis channel covers the advent of artificial intelligence in business and society. Join the discussion with webinars and videos covering everything from neural networks, to computer vision and NLP, to machine learning and AI application in the real world.A journey of ideas and action from man to machinehttps://www.brighttalk.com/channel/15321Data Lakes in the Cloud is Different- Bringing More Value to Big Data PipelinesWed, 12 Jun 2019 12:00:00 +0000Nowadays, end users use data lakes in the cloud to conduct their day-to-day operations in a very similar fashion to how they would for a business application hosted within an enterprise's own data center.
With the many options provided by cloud providers, such as SaaS, PaaS, IaaS, etc, there are a myriad of ways in which business applications can be hosted in the cloud while ensuring that all essential enterprise policies and governance are properly handled. As a result, many enterprises have pursued these options as a way to host internally developed applications using cloud providers.
In this webinar, Kumar will discuss the opportunities that can arise from a cloud-first approach to data lakes and how to optimize your cloud strategy to bring more value to your big data pipeline.https://www.brighttalk.com/webinar/data-lakes-in-the-cloud-is-different-bringing-more-value-to-big-data-pipelines-3Kumar Chinnakali, Lead Architect, Knowledge Lenshttps://www.brighttalk.com/webinar/data-lakes-in-the-cloud-is-different-bringing-more-value-to-big-data-pipelines-3"Big Data""Data Lake""Data Governance"Governance"Data Architecture""Big Data Analytics""Data Management""Cloud Analytics""Cloud Architecture"Analyticshttps://www.brighttalk.com/service/channel/channel/15321/communication/337080/calendar/icsState of the Art Natural Language Understanding in HealthcareThu, 30 May 2019 17:00:00 +0000The ability of software to reason, answer questions and intelligently converse about clinical notes, patient stories or biomedical papers has risen dramatically in the past few years.
This talk for practicing data scientists and software engineers covers state of the art natural language processing, deep learning, and machine learning libraries in this space. We'll share benchmarks from industry & research projects on use cases such as clinical data abstraction, patient risk prediction, named entity recognition & resolution, negation scope detection, and cohort selection.https://www.brighttalk.com/webcast/15321/359754David Talby, CTO, Pacific AIhttps://www.brighttalk.com/webcast/15321/359754"Data Science""Data Analytics""IT Architecture""Data Best Practices""Big Data""Artificial Intelligence"AI"Natural Language Understanding""Deep Learning""Machine Learning"https://www.brighttalk.com/service/channel/channel/15321/communication/359754/calendar/icsArchitecting a Security & Compliance Ready Data Science PlatformWed, 29 May 2019 16:00:00 +0000Join David Talby of Pacific AI as he overviews the security and compliance checklist when architecting a data science platform.https://www.brighttalk.com/webcast/15321/359759David Talby, CTO, Pacific AIhttps://www.brighttalk.com/webcast/15321/359759Security"Data Compliance""Data Privacy""Security Analytics""Data Analytics""Big Data"PrivacyGDPR"Data Architecture""Big Data Analytics"https://www.brighttalk.com/service/channel/channel/15321/communication/359759/calendar/icsExecuting Machine Learning and Deep Learning ProjectsThu, 23 May 2019 17:00:00 +0000The capability of finding patterns in data and turn that into actionable insights, to predict the future state, is the key to the competitive advantage for any organization. This can drive better strategies. Today, every CEO wants the business problems to be solved with the use of automated Artificial Intelligence/Machine Learning framework. But, whether this can be achieved and to the degree that one can, depends on various things such as vision, commitment and involvement to name a few. This is the question pondered on by the senior executives. In this presentation, our goal is to help organizations understand the best practices and frameworks/tools of Artificial Intelligence in general, Machine Learning and Deep Learning in particular thus help you think about how you and your organization may stay relevant and successful in the years and decades to come.https://www.brighttalk.com/webcast/15321/357523Umesh Hodeghatta Rao, CTO, Nu-Sigma Analytics Labshttps://www.brighttalk.com/webcast/15321/357523AI"Artificial Intelligence""Machine Learning""Deep Learning""Data Analysis""Data Analytics"Analytics"Digital Transformation""Business Intelligence""Business Analytics"Predictive Maintenance and Monitoring using AI and Machine LearningTue, 21 May 2019 17:00:00 +0000In this webinar we will showcase how Google Cloud Platform and its Big Data processing, IOT sensor connectivity and Tensorflow based state of the art machine learning can be used to predict failures and more importantly extend the life of the production equipment leading to break through innovation in production automation and significantly improving productivity and manufacturing flexibility.
About the speaker:
Salil Amonkar, Global Head of Manufacturing and Ai-ML Practice, Pluto7
Thought Leadership in Digital Business Transformation, Cloud and Saas Solution, Data driven Analytics, Value Chain/Supply Chain and Ai and Machine Learning
Overall 25+ years expertise in innovative business transformation services for Value Chain/Supply Chain and Manufacturing, CPG, High Technology and related Industries.
Implemented solutions leveraging multiple technologies, Cloud, SaaS, Hybrid architectures leveraging advanced and predictive analytics using data sciences, AI and machine learning for Sales and Marketing, Services, Quote to Cash and Supply Chain.
Have led several business transformational initiatives for Large Enterprise customers such as ABinBev(Anheuser Busch) Cisco, General Electric, IBM, Vodafone, General Motors, Tata Motors and many others.
Certified Google Professional-Data Engineerhttps://www.brighttalk.com/webcast/15321/357522Salil Amonkar, Global Head of Manufacturing and Ai-ML Practice, Pluto7https://www.brighttalk.com/webcast/15321/357522AI"Artificial Intelligence""Business Intelligence""Machine Learning""Deep Learning"Google"Big Data""Big Data Analytics""Big Data Management""Big Data Storage"AI/ML and AR/VR Applications in Real LifeThu, 16 May 2019 17:00:00 +0000In this webinar, we will describe a number of use cases spanning Artificial Intelligence, Machine Learning, Augmented reality and Virtual Reality that are propelling enterprises to realize significant value, increase efficiencies and provide unparalleled customer and employee experiences.
With rampant advances in deep learning technologies, access to large volumes of data, massive innovations in AR/VR devices and software, we are in a unique position, today, to leverage them for a plethora of use cases that are addressing real-life scenarios positively. They include customer service automation, employee productivity, training, visualization and remote troubleshooting, inspection and documentation.
About the Speakers:
With over 22 years of start-up and large-company experience in the high-tech industry, Girish is the CEO of Muck.AI, helping start-ups and enterprises realize the benefits of AI/ML, Cloud, Security and Networking. Girish served as the VP of Business Development & Strategy at Passage AI (www.passage.ai), a Silicon Valley startup developing conversational chatbot solutions using deep learning, natural language processing and artificial intelligence. He worked with Juniper Networks, Reliance Jio, Entropic Communications, ARRIS Group and SBC Labs, helping bring security, cloud, broadband and wireless communications solutions to market. Girish serves as an advisor and mentor to a number of start-ups.
DP Prakash is presently the worldwide leader in the CIO office of Global Foundries for Innovation in enterprise productivity through AI ML AR VR applications. In 2018, DP Prakash and his Team have created world leading solutions in AI ML and AR VR including the ability to visualize walking inside chips made with nano technology.https://www.brighttalk.com/webcast/15321/357519Muckai Girish, CEO, Muck.AI and DP Prakash, CIO, Global Foundrieshttps://www.brighttalk.com/webcast/15321/357519AI"Artificial Intelligence""Augmented Reality"VR"Virtual Reality""Deep Learning""Data Analytics""Machine Learning"VisualizationAutomationThe State of Artificial Intelligence: Where Are We Now and Where Are We Headed?Tue, 14 May 2019 17:00:00 +0000Join Artem Golubev, CEO of TestRigor and Aleksey Malyshev, Machine Learning Engineer at TestRigor as they discuss the current state of artificial intelligence from an engineering & business perspective.
What is AI for the enterprise truly capable of and how much of the conversation surrounding AI is just hype? Tune in to find out!https://www.brighttalk.com/webcast/15321/357515Artem Golubev, CEO, Test Rigor & Aleksey Malyshev, Machine Learning Engineer, Test Rigorhttps://www.brighttalk.com/webcast/15321/357515"Artificial Intelligence"AI"Machine Learning""Big Data""Digital Transformation""Deep Learning""Neural Networks""Business Intelligence"Analytics"Test Automation"Today's Simple AI For AllThu, 2 May 2019 17:00:00 +0000AI attracts a lot of attention today and the advances are usually driven by machine and/or deep learning. However the tools that most use in this space require specialist (technical & data) skills. Fortunately a new generation of tools are emerging that aim make AI available to all. Im a big believer and supporter of this trend. In this session I take you through the tools and techniques that are making AI capabilities more easily available to billions of ordinary folk worldwide.https://www.brighttalk.com/webcast/15321/357541Maurice Flynn, Director of Data Science, The FF Foundationhttps://www.brighttalk.com/webcast/15321/357541AI"Artificial Intelligence""Deep Learning""Machine Learning""Data Science""Digital Transformation""Big Data""Data Analytics"Analytics"Data Management"The State of Artificial Intelligence: Where Are We Now and Where Are We Headed?Tue, 30 Apr 2019 16:00:00 +0000Join Artem Golubev, CEO of TestRigor and Aleksey Malyshev, Machine Learning Engineer at TestRigor as they discuss the current state of artificial intelligence from an engineering & business perspective.
What is AI for the enterprise truly capable of and how much of the conversation surrounding AI is just hype? Tune in to find out!https://www.brighttalk.com/webcast/15321/354272Artem Golubev, CEO, Test Rigor & Aleksey Malyshev, Machine Learning Engineer, Test Rigorhttps://www.brighttalk.com/webcast/15321/354272"Artificial Intelligence"AI"Machine Learning""Big Data""Digital Transformation""Deep Learning""Neural Networks""Business Intelligence"Analytics"Test Automation"The Path to Enterprise AI: Tales from the FieldThu, 18 Apr 2019 16:00:00 +0000Enterprise AI is a target state where every business process is AI-augmented and every employee is an AI beneficiary. But is that really attainable? And, if so, what is the path to get there? In this talk, Larry Orimoloye, Sales Engineer at Dataiku, will share learnings from the field, describing how companies of different sizes and across different sectors have begun this journey. Some are farther along than others, and by making the right decisions now and avoiding stumbling blocks, you can supercharge your quest to this AI-fueled future.
Larry Orimoloye is an applied statistician with strong expertise in driving ROI from all analytics investment. He possesses a solid grasp and understanding of analytics life cycle (end-to-end process). Larry has acted as strategic adviser and domain expert to wide range of clients including Apple, EE(T-Mobile/Orange), Sky, ExxonMobil, FedEx among others.https://www.brighttalk.com/webcast/15321/354438Larry Orimoloye, Sales Engineer, Dataikuhttps://www.brighttalk.com/webcast/15321/354438AI"Artificial Intelligence""Business Intelligence""Data Science""Data Analytics""Big Data""Enterprise IT"ROI"Machine Learning""Deep Learning"Analytics Driven Personalized Healthcare Using Machine Learning and AITue, 16 Apr 2019 10:00:00 +0000Progressing from decades of data and analytics work to improve healthcare outcomes, Intermountain Healthcare is moving to a new generation of analytics driven by machine learning and augmented intelligence. Our analytics maturity has progressed along this continuum:
Descriptive (what happened)
Diagnostic (why it happened)
Predictive (what is likely to happen)
Prescriptive (what should we do)
Personalized (what should “I” do)
Learn how personalized analytics in healthcare is improving patient satisfaction and success, reducing readmissions and clinical utilization and helping people to live the healthiest lives possible.https://www.brighttalk.com/webcast/15321/354264Lonny Northrup, Sr. Health Informaticist, Intermountain Healthcarehttps://www.brighttalk.com/webcast/15321/354264AI"Machine Learning""Artificial Intelligence"Analytics"Predictive Analytics""Digital Transformation""Data Analysis""Data Analytics""Data Science""Big Data"Architecting an Open Source Data Science Platform: 2018 EditionThu, 11 Apr 2019 16:00:00 +0000Join David Talby of Pacific AI as he updates the best practices and techniques for building an open source data science platform.https://www.brighttalk.com/webcast/15321/354437David Talby, CTO, Pacific AIhttps://www.brighttalk.com/webcast/15321/354437"Open Source""Data Science""Data Analysis""Data Analytics""Data Architecture"Apache"Data Best Practices""Machine Learning""Artificial Intelligence"AnalyticsThe Future with AI and Machine LearningTue, 9 Apr 2019 16:00:00 +0000Artificial Intelligence (AI), Machine Learning, Deep Learning are the buzz words across the globe today. Businesses as well as common people are trying to make out, if it is hype or not. While there is a hope there is also gloom somewhere, as far as AI is concerned.
In this session Dr. Umesh Hodeghatta Rao and Mr. Umesha Nayak will explain how AI and Machine learning algorithms can be applied to some of the day to day activities we do and how it can improve the quality of our lives. The speakers will walk you through some of the real-world examples in healthcare, transportation & automotive, business & commerce and education including those on strategizing the business. They will also talk about the challenges in implementing AI/Machine Learning and circumstances under which AI applications will normally be successful compared to when they are likely to be unsuccessful.https://www.brighttalk.com/webcast/15321/354436Dr. Umesh Hodeghatta, Chief Data Scientist and Umesha Navak, CEO, N-U Sigma Analytics Labhttps://www.brighttalk.com/webcast/15321/354436AI"Artificial Intelligence""Machine Learning""Deep Learning""Data Science""Business Agility""Big Data""Advanced Analytics""Digital Transformation""Neural Networks"[Ep.5] Quantum Machine LearningFri, 5 Apr 2019 17:00:00 +0000Quantum machine learning is an emerging interdisciplinary research area intersecting quantum physics & machine learning. It is often associated with machine learning methods applied to data from quantum experiments. Quantum computers provide the computational advantage to classify objects in nth dimensions.
Quantum machine learning is applied in the areas of nano-particles, material discovery, chemical design, drug design, pattern recognition & classification. Use cases include: creating new materials for space tech, wearable tech, renewable energy, nanotech, new drugs & chemical combos, genetic science, biometrics, IoT devices & universe discovery.
Quantum walks are a quantum analogue to random walks and have substantially reduced time-consumption in Monte Carlo simulations for mixing of Markov chains (Ashley Montanaro, 2015). These quantum algorithms are applied in wealth management & trading.
Key TakeAways
-Discover classic machine learning & quantum machine learning methods & applications in various areas.
-Learn how quantum algorithms are applied in wealth management and trading.
-A demo on quantum algorithms
Bio: Bhagvan Kommadi is the Founder of Architect Corner & has around 18 years’ experience in the industry, ranging from large scale enterprise development to helping incubate software product startups. He has a Masters in Industrial Systems Engineering at Georgia Institute of Technology (1997) & Bachelors in Aerospace Engineering from Indian Institute of Technology, Madras (1993). He is a member of IFX forum, Oracle JCP and participant in Java Community Process.
He founded Quantica Computacao, the first quantum computing startup in India. Bhagvan has engineered & developed simulators & tools in the area of quantum technology using IBM Q, Microsoft Q# & Google QScript. The company's focus is on developing quantum cryptographic tools, which will provide quantum-proof data security that will help banking institutions protect their transactions.https://www.brighttalk.com/webcast/15321/351571Bhagvan Kommadi, Founder of Quantica Computacao, India's first quantum computing startuphttps://www.brighttalk.com/webcast/15321/351571"Machine Learning"AI"Artificial Intelligence""Quantum Machine Learning""Wealth Management""Investment Management""Investment Strategy""Emerging Technologies""Big Data""Digital Transformation"[Ep. 4] Analytics Driven Personalized Healthcare Using Machine Learning and AITue, 12 Mar 2019 16:00:00 +0000Progressing from decades of data and analytics work to improve healthcare outcomes, Intermountain Healthcare is moving to a new generation of analytics driven by machine learning and augmented intelligence. Our analytics maturity has progressed along this continuum:
Descriptive (what happened)
Diagnostic (why it happened)
Predictive (what is likely to happen)
Prescriptive (what should we do)
Personalized (what should “I” do)
Learn how personalized analytics in healthcare is improving patient satisfaction and success, reducing readmissions and clinical utilization and helping people to live the healthiest lives possible.https://www.brighttalk.com/webcast/15321/350381Lonny Northrup, Sr. Health Informaticist, Intermountain Healthcarehttps://www.brighttalk.com/webcast/15321/350381AI"Machine Learning""Artificial Intelligence"Analytics"Predictive Analytics""Digital Transformation""Data Analysis""Data Analytics""Data Science""Big Data"[Ep.3] AI+Machine Learning and AR+VR Applications in Real LifeTue, 26 Feb 2019 17:00:00 +0000In this webinar, we will describe a number of use cases spanning Artificial Intelligence, Machine Learning, Augmented Reality and Virtual Reality that are propelling enterprises to realize significant value, increase efficiencies and provide unparalleled customer and employee experiences.
With rampant advances in deep learning technologies, access to large volumes of data, massive innovations in AR/VR devices and software, we are in a unique position, today, to leverage them for a plethora of use cases that are addressing real-life scenarios positively. They include customer service automation, employee productivity, training, visualization and remote troubleshooting, inspection and documentation.
About the Speakers:
With over 22 years of start-up and large-company experience in the high-tech industry, Girish is the CEO of Muck.AI, helping start-ups and enterprises realize the benefits of AI/ML, Cloud, Security and Networking. Girish served as the VP of Business Development & Strategy at Passage AI (www.passage.ai), a Silicon Valley startup developing conversational chatbot solutions using deep learning, natural language processing and artificial intelligence. He worked with Juniper Networks, Reliance Jio, Entropic Communications, ARRIS Group and SBC Labs, helping bring security, cloud, broadband and wireless communications solutions to market. Girish serves as an advisor and mentor to a number of start-ups.
DP Prakash is presently the worldwide leader in the CIO office of Global Foundries for Innovation in enterprise productivity through AI ML AR VR applications. In 2018, DP Prakash and his Team have created world leading solutions in AI ML and AR VR including the ability to visualize walking inside chips made with nano technology.https://www.brighttalk.com/webcast/15321/350371Muckai Girish, CEO, Muck.AI and DP Prakash, CIO, Global Foundrieshttps://www.brighttalk.com/webcast/15321/350371AI"Artificial Intelligence""Augmented Reality"VR"Virtual Reality""Deep Learning""Data Analytics""Machine Learning"VisualizationAutomationToday's Simple AI For AllThu, 14 Feb 2019 12:00:00 +0000AI attracts a lot of attention today and the advances are usually driven by machine and/or deep learning. However the tools that most use in this space require specialist (technical & data) skills. Fortunately a new generation of tools are emerging that aim make AI available to all. Im a big believer and supporter of this trend. In this session I take you through the tools and techniques that are making AI capabilities more easily available to billions of ordinary folk worldwide.https://www.brighttalk.com/webcast/15321/343437Maurice Flynn, Director of Data Science, The FF Foundationhttps://www.brighttalk.com/webcast/15321/343437AI"Artificial Intelligence""Deep Learning""Machine Learning""Data Science""Digital Transformation""Big Data""Data Analytics"Analytics"Data Management"Predictive Maintenance and Monitoring using AI and Machine LearningWed, 13 Feb 2019 22:00:00 +0000In this webinar we will showcase how Google Cloud Platform and its Big Data processing, IOT sensor connectivity and Tensorflow based state of the art machine learning can be used to predict failures and more importantly extend the life of the production equipment leading to break through innovation in production automation and significantly improving productivity and manufacturing flexibility.
About the speaker:
Salil Amonkar, Global Head of Manufacturing and Ai-ML Practice, Pluto7
Thought Leadership in Digital Business Transformation, Cloud and Saas Solution, Data driven Analytics, Value Chain/Supply Chain and Ai and Machine Learning
Overall 25+ years expertise in innovative business transformation services for Value Chain/Supply Chain and Manufacturing, CPG, High Technology and related Industries.
Implemented solutions leveraging multiple technologies, Cloud, SaaS, Hybrid architectures leveraging advanced and predictive analytics using data sciences, AI and machine learning for Sales and Marketing, Services, Quote to Cash and Supply Chain.
Have led several business transformational initiatives for Large Enterprise customers such as ABinBev(Anheuser Busch) Cisco, General Electric, IBM, Vodafone, General Motors, Tata Motors and many others.
Certified Google Professional-Data Engineerhttps://www.brighttalk.com/webinar/predictive-maintenance-and-monitoring-using-ai-and-machine-learning/Salil Amonkar, Global Head of Manufacturing and Ai-ML Practice, Pluto7https://www.brighttalk.com/webinar/predictive-maintenance-and-monitoring-using-ai-and-machine-learning/AI"Artificial Intelligence""Business Intelligence""Machine Learning""Deep Learning"Google"Big Data""Big Data Analytics""Big Data Management""Big Data Storage"Future with AI and Machine LearningWed, 13 Feb 2019 16:00:00 +0000Artificial Intelligence (AI), Machine Learning, Deep Learning are the buzz words across the globe today. Businesses as well as common people are trying to make out, if it is hype or not. While there is a hope there is also gloom somewhere, as far as AI is concerned.
In this session Dr. Umesh Hodeghatta Rao and Mr. Umesha Nayak will explain how AI and Machine learning algorithms can be applied to some of the day to day activities we do and how it can improve the quality of our lives. The speakers will walk you through some of the real-world examples in healthcare, transportation & automotive, business & commerce and education including those on strategizing the business. They will also talk about the challenges in implementing AI/Machine Learning and circumstances under which AI applications will normally be successful compared to when they are likely to be unsuccessful.https://www.brighttalk.com/webinar/future-with-ai-and-machine-learning/Dr. Umesh Hodeghatta, Chief Data Scientist and Umesha Navak, CEO, N-U Sigma Analytics Labhttps://www.brighttalk.com/webinar/future-with-ai-and-machine-learning/AI"Artificial Intelligence""Machine Learning""Deep Learning""Data Science""Business Agility""Big Data""Advanced Analytics"Analytics Driven Personalized Healthcare Using Machine Learning and AIWed, 13 Feb 2019 13:00:00 +0000Progressing from decades of data and analytics work to improve healthcare outcomes, Intermountain Healthcare is moving to a new generation of analytics driven by machine learning and augmented intelligence. Our analytics maturity has progressed along this continuum:
Descriptive (what happened)
Diagnostic (why it happened)
Predictive (what is likely to happen)
Prescriptive (what should we do)
Personalized (what should “I” do)
Learn how personalized analytics in healthcare is improving patient satisfaction and success, reducing readmissions and clinical utilization and helping people to live the healthiest lives possible.https://www.brighttalk.com/webcast/15321/347001Lonny Northrup, Sr. Health Informaticist, Intermountain Healthcarehttps://www.brighttalk.com/webcast/15321/347001AI"Machine Learning""Artificial Intelligence"Analytics"Predictive Analytics""Digital Transformation""Data Analysis""Data Analytics""Data Science""Big Data"AI/ML and AR/VR Applications in Real LifeTue, 12 Feb 2019 22:00:00 +0000In this webinar, we will describe a number of use cases spanning Artificial Intelligence, Machine Learning, Augmented reality and Virtual Reality that are propelling enterprises to realize significant value, increase efficiencies and provide unparalleled customer and employee experiences.
With rampant advances in deep learning technologies, access to large volumes of data, massive innovations in AR/VR devices and software, we are in a unique position, today, to leverage them for a plethora of use cases that are addressing real-life scenarios positively. They include customer service automation, employee productivity, training, visualization and remote troubleshooting, inspection and documentation.
About the Speakers:
With over 22 years of start-up and large-company experience in the high-tech industry, Girish is the CEO of Muck.AI, helping start-ups and enterprises realize the benefits of AI/ML, Cloud, Security and Networking. Girish served as the VP of Business Development & Strategy at Passage AI (www.passage.ai), a Silicon Valley startup developing conversational chatbot solutions using deep learning, natural language processing and artificial intelligence. He worked with Juniper Networks, Reliance Jio, Entropic Communications, ARRIS Group and SBC Labs, helping bring security, cloud, broadband and wireless communications solutions to market. Girish serves as an advisor and mentor to a number of start-ups.
DP Prakash is presently the worldwide leader in the CIO office of Global Foundries for Innovation in enterprise productivity through AI ML AR VR applications. In 2018, DP Prakash and his Team have created world leading solutions in AI ML and AR VR including the ability to visualize walking inside chips made with nano technology.https://www.brighttalk.com/webinar/ai-ml-and-ar-vr-applications-in-real-life/Muckai Girish, CEO, Muck.AI and DP Prakash, CIO, Global Foundrieshttps://www.brighttalk.com/webinar/ai-ml-and-ar-vr-applications-in-real-life/AI"Artificial Intelligence""Augmented Reality"VR"Virtual Reality""Deep Learning""Data Analytics""Machine Learning"VisualizationAutomationAsk the Expert: Ethics in AITue, 12 Feb 2019 14:00:00 +0000This webinar is part of BrightTALK's Ask the Expert series.
Alexey Malanov joined Kaspersky Lab in 2004, where he began his work as a virus analyst. He has since been appointed Head of Kaspersky's Anti-Malware Team and in 2012, shifted his focus to analyzing technology trends and risks.
The threat posed by a Strong AI (artificial intelligence where the machine's intellectual capability is functionally equal to a human's) is well-considered in many science fiction films. But the invention of a Strong AI will take many years, so we can afford not to hurry with the study of "laws of robotics."
However, we are already facing growing concerns. The use of machine learning in various fields has shown that algorithms often make strange, discriminatory and difficult-to-understand decisions. Moreover, it has been clearly demonstrated that a person can cheat algorithms to achieve desired results.
Alexey addresses some of the looming issues surrounding the AI algorithms that are becoming a part of our daily lives, and will increasingly affect us and our decisions.https://www.brighttalk.com/webcast/15321/346347Alexey Malanov, Malware Expert, Kaspersky Labhttps://www.brighttalk.com/webcast/15321/346347AI"Artificial Intelligence""Machine Learning""Deep Learning"Malware"Big Data""Emerging Technologies"Analytics"Data Analysis""Data Analytics"The Path to Enterprise AI: Tales from the FieldTue, 12 Feb 2019 13:00:00 +0000Enterprise AI is a target state where every business process is AI-augmented and every employee is an AI beneficiary. But is that really attainable? And, if so, what is the path to get there? In this talk, Larry Orimoloye, Sales Engineer at Dataiku, will share learnings from the field, describing how companies of different sizes and across different sectors have begun this journey. Some are farther along than others, and by making the right decisions now and avoiding stumbling blocks, you can supercharge your quest to this AI-fueled future.
Larry Orimoloye is an applied statistician with strong expertise in driving ROI from all analytics investment. He possesses a solid grasp and understanding of analytics life cycle (end-to-end process). Larry has acted as strategic adviser and domain expert to wide range of clients including Apple, EE(T-Mobile/Orange), Sky, ExxonMobil, FedEx among others.https://www.brighttalk.com/webinar/the-path-to-enterprise-ai-tales-from-the-field/Larry Orimoloye, Sales Engineer, Dataikuhttps://www.brighttalk.com/webinar/the-path-to-enterprise-ai-tales-from-the-field/AI"Artificial Intelligence""Business Intelligence""Data Science""Data Analytics""Big Data""Enterprise IT"ROIGet and keep customers with killer AI-driven UX designTue, 29 Jan 2019 18:00:00 +0000User experience is swiftly overtaking price as the most important competitive differentiator. That means wowing your customers at every point of interaction and engagement. And lately, new approaches fueled by AI and significant data produced by cross-platform experiences are putting UX under a new kind of microscope and helping to drive positive results. When harnessed correctly, AI really just means ultimate personalization. And this can reward you with loyalty, affinity, and word of mouth.
User experience design (UX) isn’t a guessing game anymore. Artificial intelligence is your superpower, and machine learning your secret weapon. AI helps you personalize the customer journey at every step dynamically, crafting unique, individual experiences that learn along the way, making them more relevant, more engaging, and more delightful.
To learn more about why AI should be the foundation of all your user experience design, and where to start, don’t miss this VB Live event!
Register here for free.
Attend this webinar and learn about:
* How AI supercharges the relevancy, elegance, and engagement of modern design.
* The ways well-known brands are creating intuitive apps with powerful UX supported by AI
* The relationship between effective design and a strong ROI
* Real-world successes and failures in AI-driven design
Speakers:
* Steph Hay, VP, Conversational AI Design & Integrated Experiences, Capital One
* David Parmenter, Director of Engineering & Data, Adobe Document Cloudhttps://www.brighttalk.com/webcast/15321/343339VentureBeathttps://www.brighttalk.com/webcast/15321/343339"User Behavior""User Experience"UXAI"Artificial Intelligence"Reimagining the Contact Center with Bots & AIThu, 13 Dec 2018 18:00:00 +0000Bots, artificial intelligence, and messaging — cost-effective, easy-to-implement automation technology —- is gaining a major foothold in customer service organizations, and the impact is palpable. Contact centers are on track to shrink by 50 percent in the next three years as routine tasks are taken over by faster, efficiency-saving bots that can triage requests, boost customer satisfaction, and offer an 8.6 percent increase in profit margin per customer.
These technologies are also making it easy to tap into the gig economy, which is producing a growing supply of tech-savvy labor for companies that also saves costs. For workers, it means flexible arrangements with low barriers to entry, plus more satisfying employment, now that the grunt work has been eliminated by automation.
AI and automation is set to level up the workforce, the economy, and your bottom line. For a closer look at the long-term implications of automation, how to invest in the brave new world of work, and more, don’t miss this VB Live event!
Attend this webinar and learn:
* The workforce implications of customer service bots
* How bots and employees can work side-by-side
* What smart companies are doing to lay the groundwork
* Future of work - what does it look like?
Speakers:
* Abinash Tripathy, Co-founder, Helpshift
* Peter Ryan, Principal Analyst, Ryan Strategic Advisory
* Stewart Rogers, Analyst-at-Large, VentureBeat
* Dilan Yuksel Moderator, VentureBeat
Sponsored by Helpshifthttps://www.brighttalk.com/webcast/15321/342399Abinash Tripathy, Co-founder, Helpshifthttps://www.brighttalk.com/webcast/15321/342399VentureBeatAIBotsChatbots"Customer Engagement""Sales Development""Artificial Intelligence""Technology Marketing""Customer Advocacy"What You Must Know to Build AI Systems That Understand Natural LanguageThu, 13 Dec 2018 17:00:00 +0000New AI solutions in question answering, chatbots, structured data extraction, text generation, and inference all require deep understanding of the nuances of human language. David Talby shares challenges, risks, and best practices for building NLU-based systems, drawing on examples and case studies from products and services built by Fortune 500 companies and startups over the past six years. David also highlights some of the differences between language understanding and other machine learning and deep learning applications.
Topics include:
- What gave natural language understanding its reputation as an “AI complete” problem
- The many languages we speak every day and the resulting need to train domain-specific NLP models for most systems
- The evolution from “traditional” machine learning and information retrieval techniques to current state-of-the-art systems, covering both the “simple” parts of common NLP Q&A or bot solutions and where “advanced” AI fits in
- Guidelines to architecting a system that trains and serves large, current, accurate domain-specific NLP models using open source software
David Talby is a chief technology officer at Pacific AI, helping fast-growing companies apply big data and data science techniques to solve real-world problems in healthcare, life science, and related fields. David has extensive experience in building and operating web-scale data science and business platforms, as well as building world-class, Agile, distributed teams. Previously, he was with Microsoft’s Bing Group, where he led business operations for Bing Shopping in the US and Europe, and worked at Amazon both in Seattle and the UK, where he built and ran distributed teams that helped scale Amazon’s financial systems. David holds a PhD in computer science and master’s degrees in both computer science and business administration.https://www.brighttalk.com/webcast/15321/343362David Talby, CTO at Pacific AIhttps://www.brighttalk.com/webcast/15321/343362AI"Artificial Intelligence""Machine Learning"Chatbots"Deep Learning""Advanced Analytics"Analytics"Big Data""Data Science""Natural Language"Business Transformation with Machine Learning and AI Use Cases on Google CloudWed, 12 Dec 2018 17:00:00 +0000In this webinar the audience will learn how Machine Learning and AI is being adopted in the real-world working with Google.
Google uses 4000+ machine learning models to run everything from their search engine, to Gmail and much more. The same infrastructure is now being used across multiple industries like supply chain, retail, manufacturing, and health care, to solve a myriad of problems like:
- Improving the taste of beer
- Beating humans in forecast accuracy
- Driving delivery of fresher fruits and helping online retailers reduce inventory carrying costs by over 50%
- and much, much more.
All this is being accomplished in ways that were never imagined before using machine learning and AI technology.
In this webinar we will walk you through how customers of all sizes are going through this digital transformation and how these results signal a huge wave ahead for businesses worldwide.
Manju Devadas is CEO of Pluto7, a Google “Global Breakthrough Partner of the Year” finalist company focused on Machine Learning and AI. At Pluto7, Manju utilizes his 17+ years of experience in predictive analytics to transform business on Google Cloud Provider (GCP). He believes that the next 10 years will be the age of machines and companies like Google and Pluto7 are early adopters.https://www.brighttalk.com/webcast/15321/344615Manju Devadas, CEO, Pluto7https://www.brighttalk.com/webcast/15321/344615"Business Intelligence"AI"Machine Learning""Artificial Intelligence"Google"Big Data"Analytics"Data Analytics""Deep Learning""Digital Transformation"How smart companies use voice and bots to get and keep more customersTue, 11 Dec 2018 18:00:00 +0000The landscape of voice and chatbot-to-customer interactions is blowing up. Whether it’s a trusted AI assistant like Alexa or Google Home, or an integrated voice or chatbot tool within a brand interface like Kayak’s customer service experience, customers are increasingly willing to engage with brands via voice chat.
AI assistants are getting smarter, and becoming capable of helping consumers sort through the avalanche of choices available in every decision, from buying phone plans to toothbrushes. And your marketing efforts will have to shift priorities in a major way to capture the attention of these newly connected customers as assistants get smarter and customers learn they can rely on their results.
To hear about actual voice chat use cases, the differences between integrated bots and AI assistants, and how to leverage voice and bots for amaze-and-delight experiences right now, don’t miss this VB Live event!
Register here for free.
Attend this webinar and learn:
* How bots and voice are uniquely positioned to help customers make purchasing decisions
* How brands can address the advantages of integrated bots and an AI trusted assistant like Alexa
* The best ways to leverage voice and bots to optimize the customer experience
* What's next for voice and bots
Speakers:
* Bharath Kadaba, Chief Innovation Officer, Intuit
* Ryan Lester, Director, Customer Engagement Technologies, LogMein
* Matthias Keller, Chief Scientist & SVP Technology, Kayak
* Russ Tar, VP EMEA, Artificial Solutions
* Rachael Brownell, Moderator, VentureBeat
Sponsored by Bold360 by LogMeInhttps://www.brighttalk.com/webcast/15321/342092Bharath Kadaba, Chief Innovation Officer, Intuithttps://www.brighttalk.com/webcast/15321/342092BotsAnalytics"Technology Marketing""Customer Care"MarketingChatbotsVentureBeat"Artificial Intelligence""Customer Engagement""Cyber Security"[Ep.23] Ask the Expert: The Future of Artificial IntelligenceTue, 6 Nov 2018 17:00:00 +0000This webinar is part of BrightTALK's Ask the Expert series.https://www.brighttalk.com/webcast/15321/337225Florian Douetteau, CEO of Dataiku and Erin Junio, Content Manager at BrightTALKhttps://www.brighttalk.com/webcast/15321/337225"Big Data""Machine Learning""Artificial Intelligence"AI"Data Analytics"Analytics"Data Science""Ask the Expert""Business Intelligence""Digital Transformation"Leveraging AI to boost customer acquisition, engagement, and retentionTue, 30 Oct 2018 17:00:00 +0000Your instincts are good — but AI can make them flawless. With AI, every time a customer engages with your brand, you’re making that moment really count.
Add AI powered predictive analytics to ensure the right message at the right time, targeting is accurate and high-value, and customer support is proactive. Automate chat-based customer service, and give your agents more info off the top. Level up the shopping experience by offering the right products at the right time — and add contextual conversation to narrow their choices down.
Customers want this kind of service and attention. And if you can’t deliver, they’re going to find the company that can. So don’t miss this VB Live event, where you’ll learn more about being relevant to your customers, making their engagement meaningful, and more!
Register now for free!
Attend this webinar and learn:
* How AI levels up personalization and customer engagement
* How to use AI-fueled data analytics to create tactical marketing plans.
* How to create personalized moments without being creepy
* How to increase real and effective relevance to customers across channels
Speakers:
* Grant Langston, CEO, Eharmony
* Dave Gerhardt, VP Marketing, Drift
* Brian Witlin, CEO, Yummly
* Moira Dorsey, Founder, Dorsey Experience
Sponsored by Drifthttps://www.brighttalk.com/webcast/15321/338509Brian Witlin, CEO, Yummlyhttps://www.brighttalk.com/webcast/15321/338509"Customer Advocacy""Customer Care""Customer Data""Customer Engagement""Artificial Intelligence""Technology Marketing""Sales Acceleration""Sales Development"Analytics Driven Personalized Healthcare Using Machine Learning and AIThu, 25 Oct 2018 16:00:00 +0000Progressing from decades of data and analytics work to improve healthcare outcomes, Intermountain Healthcare is moving to a new generation of analytics driven by machine learning and augmented intelligence. Our analytics maturity has progressed along this continuum:
Descriptive (what happened)
Diagnostic (why it happened)
Predictive (what is likely to happen)
Prescriptive (what should we do)
Personalized (what should “I” do)
Learn how personalized analytics in healthcare is improving patient satisfaction and success, reducing readmissions and clinical utilization and helping people to live the healthiest lives possible.https://www.brighttalk.com/webinar/analytics-driven-personalized-healthcare-using-machine-learning-and-ai/Lonny Northrup, Sr. Health Informaticist, Intermountain Healthcarehttps://www.brighttalk.com/webinar/analytics-driven-personalized-healthcare-using-machine-learning-and-ai/AI"Machine Learning""Artificial Intelligence"Analytics"Predictive Analytics""Digital Transformation""Data Analysis""Data Analytics""Data Science""Big Data"Five Ways to Prepare for AI in Sales, Marketing and BeyondWed, 24 Oct 2018 17:00:00 +0000Enterprise preparation for AI has centered almost exclusively on data prep and data science talent. While without data there would be no AI, enterprises that fail to ready the broader organization, chiefly people, process, and principles, don’t just stunt their capacity for good AI, they risk sunk investment, jeopardize employee trust, brand backlash, or worse.
Ensuring sustainable deployment starts with assessing enterprise data strategy, aligning myriad stakeholders, technological feasibility assessment, and a coordinated approach to ethics.
Join VentureBeat and industry analyst and founding partner of Kaleido Insights, Jessica Groopman for discussion on the five fundamentals of AI readiness at our upcoming VB Live event!
Attend this webinar and learn:
* What you need to do to prepare for AI-- beyond the data science team
* Real-world examples and research findings
* Top 5 best practices for strategic AI implementation
Speakers:
* Nathan Decker, Director of eCommerce, evo
* Ken Natori, President, Natori Company
* Jessica Groopman, Industry analyst and founding partner of Kaleido Insights
* Rachael Brownell, Moderator, VentureBeathttps://www.brighttalk.com/webcast/15321/333815Nathan Decker, Director of eCommerce, evohttps://www.brighttalk.com/webcast/15321/333815"Artificial Intelligence""Data Analysis""Data Architecture""Data Best Practices""Human Capital""Technology Marketing"Architecting an Open Source Data Science Platform: 2018 EditionTue, 23 Oct 2018 17:00:00 +0000Join David Talby of Pacific AI as he updates the best practices and techniques for building an open source data science platform.https://www.brighttalk.com/webinar/architecting-an-open-source-data-science-platform-2018-edition/David Talby, CTO, Pacific AIhttps://www.brighttalk.com/webinar/architecting-an-open-source-data-science-platform-2018-edition/"Open Source""Data Science""Data Analysis""Data Analytics""Data Architecture"Apache"Data Best Practices""Machine Learning""Artificial Intelligence"AnalyticsBusiness Transformation with Machine Learning and AI Use Cases on Google CloudTue, 23 Oct 2018 16:00:00 +0000In this webinar the audience will learn how Machine Learning and AI is being adopted in the real-world working with Google.
Google uses 4000+ machine learning models to run everything from their search engine, to Gmail and much more. The same infrastructure is now being used across multiple industries like supply chain, retail, manufacturing, and health care, to solve a myriad of problems like:
- Improving the taste of beer
- Beating humans in forecast accuracy
- Driving delivery of fresher fruits and helping online retailers reduce inventory carrying costs by over 50%
- and much, much more.
All this is being accomplished in ways that were never imagined before using machine learning and AI technology.
In this webinar we will walk you through how customers of all sizes are going through this digital transformation and how these results signal a huge wave ahead for businesses worldwide.
Manju Devadas is CEO of Pluto7, a Google “Global Breakthrough Partner of the Year” finalist company focused on Machine Learning and AI. At Pluto7, Manju utilizes his 17+ years of experience in predictive analytics to transform business on Google Cloud Provider (GCP). He believes that the next 10 years will be the age of machines and companies like Google and Pluto7 are early adopters.https://www.brighttalk.com/webinar/business-transformation-with-machine-learning-and-ai-use-cases-on-google-cloud/Manju Devadas, CEO, Pluto7https://www.brighttalk.com/webinar/business-transformation-with-machine-learning-and-ai-use-cases-on-google-cloud/"Business Intelligence"AI"Machine Learning""Artificial Intelligence"Google"Big Data"Analytics"Data Analytics""Deep Learning""Digital Transformation"[Ep.1] What's Big in BI: An Ethical Foundation for the AI-Driven FutureTue, 23 Oct 2018 16:00:00 +0000This webinar is part of BrightTALK's What's Big in BI series.
What is the moral responsibility of a data team today? As artificial intelligence and machine learning technologies become part of our everyday life and as data and big data insights become accessible to everyone, CDOs and data teams are taking on a very important moral role as the conscience of the corporation.
In this episode of What's Big in BI, Harry Glaser highlights the risks companies will face if they don't empower data teams to lead the way for ethical data use across a variety of functions including business intelligence, analytics, big data initiatives and more.
Harry founded Periscope Data in 2012 with co-founder Tom O’Neill. The two have grown Periscope Data to serve more than 1000 customers. Glaser was previously at Google, and graduated from the University of Rochester with a bachelor’s degree in computer science.https://www.brighttalk.com/webcast/15321/338536Harry Glaser, Co-founder and CEO of Periscope Data and Erin Junio, Content Manager at BrightTALKhttps://www.brighttalk.com/webcast/15321/338536"Business Intelligence""Artificial Intelligence""Machine Learning"AIAnalytics"Big Data"Ethics"Data Analytics""Data Science""Digital Transformation"Executing Machine Learning and Deep Learning ProjectsTue, 23 Oct 2018 15:00:00 +0000The capability of finding patterns in data and turn that into actionable insights, to predict the future state, is the key to the competitive advantage for any organization. This can drive better strategies. Today, every CEO wants the business problems to be solved with the use of automated Artificial Intelligence/Machine Learning framework. But, whether this can be achieved and to the degree that one can, depends on various things such as vision, commitment and involvement to name a few. This is the question pondered on by the senior executives. In this presentation, our goal is to help organizations understand the best practices and frameworks/tools of Artificial Intelligence in general, Machine Learning and Deep Learning in particular thus help you think about how you and your organization may stay relevant and successful in the years and decades to come.https://www.brighttalk.com/webinar/executing-machine-learning-and-deep-learning-projects/Umesh Hodeghatta Rao, CTO, Nu-Sigma Analytics Labshttps://www.brighttalk.com/webinar/executing-machine-learning-and-deep-learning-projects/AI"Artificial Intelligence""Machine Learning""Deep Learning""Data Analysis""Data Analytics"Analytics"Digital Transformation""Business Intelligence""Business Analytics"Today's Simple AI For AllTue, 23 Oct 2018 12:00:00 +0000AI attracts a lot of attention today and the advances are usually driven by machine and/or deep learning. However the tools that most use in this space require specialist (technical & data) skills. Fortunately a new generation of tools are emerging that aim make AI available to all. Im a big believer and supporter of this trend. In this session I take you through the tools and techniques that are making AI capabilities more easily available to billions of ordinary folk worldwide.https://www.brighttalk.com/webinar/todays-simple-ai-for-all/Maurice Flynn, Director of Data Science, The FF Foundationhttps://www.brighttalk.com/webinar/todays-simple-ai-for-all/AI"Artificial Intelligence""Deep Learning""Machine Learning""Data Science""Digital Transformation""Big Data""Data Analytics"Analytics"Data Management"How fintech is using voice and chat to revolutionize customer experienceThu, 27 Sep 2018 17:00:00 +0000Digital assistants like Amazon Echo and Google Home are changing consumers’ expectations on how they interact with all kinds of companies. So it’s no surprise that financial institutions and other financial service providers are racing to keep up and optimize their customers’ current user experience with flexible and contextualized voice and chat capabilities.
But while investment in these types of conversational technologies continues to grow, there is still confusion about how much these technologies can really drive digital engagement and streamline customer communications.
Don’t miss this chance to understand how voice and chat conversational technologies are creating a more engaging and meaningful experience for your customers.
Webinar attendees will learn:
* How are conversational technologies changing the financial services landscape?
* Things to consider when looking to deploy a voice-enabled solution.
* How can Voice and Chat support a broad range of financial wellness solutions?
* Capitalizing on conversational interfaces to capture and improve customer loyalty.
And much more…
Speakers:
* Frank Coates, Executive Managing Director, Envestnet | Yodlee Analytics
* Ken Dodelin, VP Conversational AI Products, Capital One
* Sandi Boga, Director, Product Innovation, ATB Financial
* Evan Schuman, Moderator, VentureBeat
Sponsored by Yodleehttps://www.brighttalk.com/webcast/15321/333462Frank Coates, Executive Managing Director, Envestnet | Yodlee Analyticshttps://www.brighttalk.com/webcast/15321/333462"Financial Marketing""Customer Engagement""Customer Experience"Chatbots"Fintech Security"Why brands like Amazon are using “dumb” bots for smart serviceThu, 20 Sep 2018 17:00:00 +0000Reportedly, 44% of Americans would rather scrub a toilet than call customer support. And heeding that cry for help back in 2016 or so, companies across the land stepped up to the plate, taking customer service from the phone to texting and messaging with AI-powered, NLP-reliant smart chatbots that could tell jokes, offer small talk, place taco orders, and more.
Where those messenger bots fell down, though, was in actually understanding customer intent and delivering on-point customer service. So companies were left with frustrated customers who’d still rather get a root canal than talk on the phone, but left with a broken messenger-based solution that only made the experience worse.
The answer: Make bots "dumber," to make customer service smarter. Simpler rules-based chatbots are easy to implement, easy to use, 99-percent effective web and mobile-based messenger apps that don't try to hold conversations — they just solve customer service issues, fast.
To learn more about why companies like Amazon are dumping the NLP bots and going all-in on a new generation of rules-based chatbots, don’t miss this VB Live event!
You’ll learn:
* The difference between NLP and rules-based bots and why it matters
* Why companies like Amazon are turning away from natural language processing-driven bots to rules-based bots
* How to deliver mobile and web-based customer service that works, using the right bots.
* How rules-based bots make the customer journey more effective
Speakers:
* Abinash Tripathy, Co-Founder and Chief Strategy Officer, Helpshift
* Mitch Lee, Manager, Credit Karma and Co-Founder, Penny
* Leslie Joseph, Principal Analyst, Forrester Research
* Rachael Brownell, Moderator, VentureBeat
Sponsored by Helpshifthttps://www.brighttalk.com/webcast/15321/336032Abinash Tripathy Co-Founder and Chief Strategy Officer, Helpshifthttps://www.brighttalk.com/webcast/15321/336032Bots"Artificial Intelligence"AmazonVentureBeat[Ep.21] Ask the Expert: Ethics in AITue, 18 Sep 2018 14:00:00 +0000This webinar is part of BrightTALK's Ask the Expert series.
Alexey Malanov joined Kaspersky Lab in 2004, where he began his work as a virus analyst. He has since been appointed Head of Kaspersky's Anti-Malware Team and in 2012, shifted his focus to analyzing technology trends and risks.
The threat posed by a Strong AI (artificial intelligence where the machine's intellectual capability is functionally equal to a human's) is well-considered in many science fiction films. But the invention of a Strong AI will take many years, so we can afford not to hurry with the study of "laws of robotics."
However, we are already facing growing concerns. The use of machine learning in various fields has shown that algorithms often make strange, discriminatory and difficult-to-understand decisions. Moreover, it has been clearly demonstrated that a person can cheat algorithms to achieve desired results.
Alexey addresses some of the looming issues surrounding the AI algorithms that are becoming a part of our daily lives, and will increasingly affect us and our decisions.https://www.brighttalk.com/webcast/15321/332802Alexey Malanov, Malware Expert, Kaspersky Labhttps://www.brighttalk.com/webcast/15321/332802AI"Artificial Intelligence""Machine Learning""Deep Learning"Malware"Big Data""Emerging Technologies"Analytics"Data Analysis""Data Analytics"Building a Fast, Scalable & Accurate NLP Pipeline on Apache SparkTue, 4 Sep 2018 17:00:00 +0000Natural language processing is a key component in many data science systems that must understand or reason about text. Common use cases include question answering, paraphrasing or summarization, sentiment analysis, natural language BI, language modeling, and disambiguation. Building such systems usually requires combining three types of software libraries: NLP annotation frameworks, machine learning frameworks, and deep learning frameworks.
This talk introduces the NLP library for Apache Spark. It natively extends the Spark ML pipeline API's which enabling zero-copy, distributed, combined NLP & ML pipelines, which leverage all of Spark's built-in optimizations.
The library implements core NLP algorithms including lemmatization, part of speech tagging, dependency parsing, named entity recognition, spell checking and sentiment detection. The talk will demonstrate using these algorithms to build commonly used pipelines, using PySpark on notebooks that will be made publicly available after the talk.
David Talby has over a decade of experience building real-world machine learning, data mining, and NLP systems. He’s a member of the core team that built and open sourced the Spark NLP library.https://www.brighttalk.com/webcast/15321/334430David Talby, CTO, Pacific AIhttps://www.brighttalk.com/webcast/15321/334430NLP"Machine Learning""Deep Learning""Artificial Intelligence"AI"Business Intelligence""Apache Spark""Big Data""Data Science""Data Analytics"State of the Art Natural Language Understanding in HealthcareThu, 30 Aug 2018 17:00:00 +0000The ability of software to reason, answer questions and intelligently converse about clinical notes, patient stories or biomedical papers has risen dramatically in the past few years.
This talk for practicing data scientists and software engineers covers state of the art natural language processing, deep learning, and machine learning libraries in this space. We'll share benchmarks from industry & research projects on use cases such as clinical data abstraction, patient risk prediction, named entity recognition & resolution, negation scope detection, and cohort selection.https://www.brighttalk.com/webinar/state-of-the-art-natural-language-understanding-in-healthcare/David Talby, CTO, Pacific AIhttps://www.brighttalk.com/webinar/state-of-the-art-natural-language-understanding-in-healthcare/"Data Science""Data Analytics""IT Architecture""Data Best Practices""data structure""Big Data"Artificial Intelligence & Employee Security: Greasing the Wheels of ProductivityWed, 15 Aug 2018 19:00:00 +0000Traditional security and authentication methods are designed to put up stumbling blocks for your employees, challenging them at several points throughout their workday to identify themselves. To do this they must enter, remember, and frequently change passwords, and in the expanding world of two- or multi-factor authentication the enterprise seeks greater security at the further expense of productivity. But traditional passwords and other authentication methods can be compromised, so the impact to your user processes does not always deliver proportional security.
Artificial intelligence and biometrics can change the authentication game, supporting enhanced security by automatically identifying employee identity without impacting workflows and user processes. Join Ehab Samy, VP Product Management, to learn about applications of biometrics and Artificial Intelligence that smooth your employees’ path to completing any task at work.https://www.brighttalk.com/webcast/15321/331207Ehab Samy, VP Product Management, Plurilockhttps://www.brighttalk.com/webcast/15321/331207Biometrics"Artificial Intelligence"Authentication"Cyber Security"Deploying Complex Stateful Applications with KubernetesTue, 14 Aug 2018 17:00:00 +0000Watch this on-demand webinar to learn about using Kubernetes with stateful applications for AI and Big Data workloads.
Kubernetes is now the de facto standard for container orchestration. And while it was originally designed for stateless applications and microservices, it's gaining ground in support for stateful applications as well.
But distributed stateful applications – including analytics, data science, machine learning, and deep learning workloads – are still complex and challenging to deploy with Kubernetes.
In this webinar, we'll discuss considerations for running stateful applications on Kubernetes:
-Unique requirements for multi-service stateful workloads including Hadoop, Spark, Kafka, and TensorFlow
-Persistent Volumes, Statefulsets, Operators, Helm, and other Kubernetes capabilities for stateful applications
-Technical gaps in Kubernetes deployment patterns and tooling, including security and networking
-Options and strategies to deploy distributed stateful applications in containerized environments
Learn about a new open source project focused on deploying and managing stateful applications with Kubernetes.https://www.brighttalk.com/webcast/15321/332015Tom Phelan, Chief Architect, BlueData; Yaser Najafi, Big Data Solutions Engineer, BlueDatahttps://www.brighttalk.com/webcast/15321/332015Kubernetes"Big Data Analytics""Machine Learning""Artificial Intelligence""Deep Learning"Can your data infrastructure support AI marketing?Thu, 9 Aug 2018 17:00:00 +0000Are you AI-ready? You need to be. Artificial intelligence marketing applications are delivering on their promise to source new insights to grow your business fast, AI technology is becoming available to any company looking for a competitive edge, and now’s the time to move, if you want to stay ahead of the curve.
But the challenge is not just in defining an AI strategy; it requires developing the infrastructure to support it.
Should you be developing in-house, or look to available technology and collaborate with outside experts? Keep deployment on-premise, or reach for the cloud? Can your current infrastructure, from server performance to processing power, stand up to the demands of increasingly complex AI applications?
Get ready to level up your marketing strategy with AI, advance your technological capabilities in smart, strategic ways, learn how to make sure your next infrastructure move helps you exploit the AI advantage and more when you join this VB Live event!
Register for free!
Attend this webinar and learn:
* How to tell if your marketing and IT departments are AI-ready
* The fundamentals of an AI-driven infrastructure
* The role of clean, definable data goals in successful AI implementation
* How to scale the AI workload
Speakers:
* Andrew Malinow, PhD., Principal Data Scientist, Zylotech
* Rolf Schromgens, CEO, Trivago
* Sherif Mityas, Chief Experience Officer, TGI Friday's
* Michele Goetz, Principal Analyst, Forrester
* Rachael Brownell, Moderator, VentureBeat
Sponsored by Zylotechhttps://www.brighttalk.com/webcast/15321/324025Rolf Schromgens, CEO, Trivagohttps://www.brighttalk.com/webcast/15321/324025"Data Analysis""Data Analytics""Artificial Intelligence"Marketing"Marketing Analytics"Fight gaming fraud with AI and machine learningTue, 31 Jul 2018 17:00:00 +0000Globally there are 2.2 billion active gamers, and 47 percent of them shell out cash while they play. And 100 percent of them are at risk from fraudsters who rip off everything from a gamer’s identity to their credit cards, online goods, and trust in your company. With every instance of fraud, your reputation takes a nose dive, driving away customers and directly impacting your bottom line.
But fraud is notoriously difficult to combat. Legacy rules-based approaches have never been able to keep up with fraudsters, who constantly evolve their techniques using sophisticated technology like automated scripts and bots.
That’s why machine learning and artificial intelligence are being leveraged to detect fraud before it affects your company and end users. Machine learning can sift through billions of game events and analyze vast streams of data in real time to stop fraud in its tracks.
To learn more about how machine learning and AI can keep your game and players safe from increasingly aggressive online criminals, don’t miss this VB Live event!
In this webinar, you'll learn:
* How the gaming industry can secure gamer data and build trust
* How account takeover, fake licensing, spam, and scams pose a particular challenge to gamers and gaming platforms
* What policies your company should have in place around data breach ransom
* How to combat trolling
Speakers:
* Jeff Sakasegawa, Trust and Safety Architect, Sift Science
* Dean Takahashi, Lead Writer, GamesBeat
* Scott Adams, CEO FraudPvP.com, Former Director of Fraud & Risk, Riot Games
* Rachael Brownell, Moderator, VentureBeat
Sponsored by Sift Sciencehttps://www.brighttalk.com/webcast/15321/329448Jeff Sakasegawa, Trust and Safety Architect, Sift Sciencehttps://www.brighttalk.com/webcast/15321/329448Gamingfraud"fighting fraud""dean takahashi"siftscience"new markets"gamers"Data Security""Artificial Intelligence""Machine Learning"Realizing the ROI of Big Data and AI in Banking: The Foundational StepsThu, 19 Jul 2018 19:00:00 +0000In a changing world where 50% of home loans and 38% of auto loans are provided by a non-FI, how do you compete? The answer lies in how you collect, analyze and act on data. James will walk you through how to lay the foundation for an AI-driven approach to big data.
What You’ll Learn:
- Why data-driven financial institutions get better results
- How to build a foundation for a data-first approach
- How and when to use AI and Machine Learning in your financial institution
About the presenter:
James Dotter, Chief Financial Officer at MX, brings more than 16 years of management experience and financial expertise with industry-leading, billion-dollar technology companies. Previous to joining the MX team, Dotter managed finance and operations at InsideSales.com, one of the fastest growing tech companies in the US. He led InsideSales.com through five years of more than 100 percent revenue growth, directed talent acquisition of more than 100 employees per quarter, and raised more than $140 million in private equity financing, while building and maintaining strategic partnerships.https://www.brighttalk.com/webcast/15321/325099James Dotter, Chief Financial Officer, at MXhttps://www.brighttalk.com/webcast/15321/325099fintech"Financial Management"budgeting"financial data""fintech data management""Financial advisor""Digital Transformation""Big Data"AIPragmatic approach to implementing AI for Financial ServicesThu, 19 Jul 2018 08:00:00 +0000In this webinar, Genady will talk about implementing AI projects in a financial services environment. More specifically, he will cover the following topic areas:
- Understanding what Artificial Intelligence can and can’t do
- What to take into consideration before the implementation and how FSI is different from other industries
- Step by step solution implementation avoiding common mistakes
- Choosing right resources for a task in-house vs. partnering vs. buyinghttps://www.brighttalk.com/webcast/15321/315795Genady Chybranov, Director of Financial Technology Innovation, Hitachi Vantarahttps://www.brighttalk.com/webcast/15321/315795AI"Financial Services""Artificial Intelligence"[Ep.17] Founders' Spotlight: Matthew Lamons & Paul Heirendt, Co-Founders- SkejulTue, 17 Jul 2018 16:00:00 +0000In this episode of Founders Spotlight, Matthew Lamons and Paul Heirendt, Co-Founders of Skejul, share how they started the AI driven, Blockchain-protected Calendar Assistant application.
Skejul was named “Cool Vendor for Unified Communications 2017” by Gartner, Inc, and enables its users to set meetings in seconds without sharing calendars, bouncing emails, or disclosing private information. It also lets users see all planned and potential events in one place, on any device and lets you share your time, thoughts and activities with whoever you choose, wherever you are.https://www.brighttalk.com/webcast/15321/330115Harriet Jamieson, BrightTALK and Matthew Lamons and Paul Heirendt, Skejulhttps://www.brighttalk.com/webcast/15321/330115AI"Artificial Intelligence""Application Development"Blockchain"Unified Communications""Application Delivery"DevOpsDevelopersDevelopmentCEOAI and Machine Learning: Enterprise Use Cases and ChallengesThu, 28 Jun 2018 17:00:00 +0000Watch this on-demand webinar to learn how you can accelerate your AI initiative and deliver faster time-to-value with machine learning.
AI has moved into the mainstream. Innovators in every industry are adopting machine learning for AI and digital transformation, with a wide range of different use cases. But these technologies are difficult to implement for large-scale distributed environments with enterprise requirements.
This webinar discusses:
-The game-changing business impact of AI and machine learning (ML) in the enterprise
-Example use cases: from fraud detection to medical diagnosis to autonomous driving
-The challenges of building and deploying distributed ML pipelines and how to overcome them
-A new turnkey solution to accelerate enterprise AI initiatives and large-scale ML deployments
Find out how to get up and running quickly with a multi-node sandbox environment for TensorFlow and other popular ML tools.https://www.brighttalk.com/webcast/15321/326103Radhika Rangarajan Director, Data Analytics and AI, Intel; Nanda Vijaydev Director, Solutions, BlueDatahttps://www.brighttalk.com/webcast/15321/326103AI"Machine Learning""Deep Learning""Data Science""Artificial Intelligence""Big Data Analytics"TensorflowDoes it matter if an algorithm can't explain how it knows what it knows?Thu, 24 May 2018 15:30:00 +0000With the General Data Protection Regulation (GDPR) becoming enforceable in the EU on May 25, 2018, many data scientists are worried about the impact that this regulation and similar initiatives in other countries that give consumers a "right to explanation" of decisions made by algorithms will have on the field of predictive and prescriptive analytics.
In this session, Beau will discuss the role of interpretable algorithms in data science as well as explore tools and methods for explaining high-performing algorithms.
Beau Walker has a Juris Doctorate (law degree) and BS and MS Degrees in Biology and Ecology and Evolution. Beau has worked in many domains including academia, pharma, healthcare, life sciences, insurance, legal, financial services, marketing, and IoT.https://www.brighttalk.com/webcast/15321/311881Beau Walker, Founder, Method Data Sciencehttps://www.brighttalk.com/webcast/15321/311881"Predictive Analytics""prescriptive analytics"AI"Artificial Intelligence""Machine Learning""Deep Learning"ML"Data Analytics""Big Data""Open Source"Semantic AI: Bringing Machine Learning and Knowledge Graphs TogetherWed, 23 May 2018 13:00:00 +0000Implementing AI applications based on machine learning is a significant topic for organizations embracing digital transformation. By 2020, 30% of CIOs will include AI in their top five investment priorities according to Gartner’s Top 10 Strategic Technology Trends for 2018: Intelligent Apps and Analytics. But to deliver on the AI promise, organizations need to generate good quality data to train the algorithms. Failure to do so will result in the following scenario: "When you automate a mess, you get an automated mess."
This webinar covers:
- An introduction to machine learning use cases and challenges provided by Kirk Borne, Principal Data Scientist at Booz Allen Hamilton and top data science and big data influencer.
- How to achieve good data quality based on harmonized semantic metadata presented by Andreas Blumauer, CEO and co-founder of Semantic Web Company and a pioneer in the application of semantic web standards for enterprise data integration.
- How to apply a combined approach when semantic knowledge models and machine learning build the basis of your cognitive computing. (See Attachment: The Knowledge Graph as the Default Data Model for Machine Learning)
- Why a combination of machine and human computation approaches is required, not only from an ethical but also from a technical perspective.https://www.brighttalk.com/webcast/15321/315735Kirk Borne, Principal Data Scientist, Booz Allen Hamilton & Andreas Blumauer, CEO, Managing Partner Semantic Web Companyhttps://www.brighttalk.com/webcast/15321/315735AI"Artificial Intelligence""Machine Learning"ML"Data Science""Application Development""Deep Learning""Big Data""Data Analytics"GartnerHow AI is Changing MarketingThu, 17 May 2018 21:00:00 +0000In this webinar, Metadata.io CEO Gil Allouche will talk about the different ways AI is being used by marketers. From analyzing data to orchestrating new marketing campaigns, AI is powering marketing activities in new and exciting ways and affecting interactions throughout the entire customer lifecycle. As an example of how AI can have a tremendous impact on marketing practices, Gil will focus on its role in lead generation. Webinar attendees will learn:
- What Machine Learning is in relation to AI and how it connects your data to find patterns
- Examples of how machine learning can identify target audiences, including the 20 percent that creates 80 percent of your revenue
- How AI technology can help marketers prioritize their budgets to focus on the most effective programs
- Starting with small, iterative uses of AI in marketing can be the most effective way to understand what will yield the most ROI
Gil Allouche founded Metadata.io to make demand generation easy for non-technical marketers. The Metadata.io platform and AI Operator evolved from Gil's experiences hacking various marketing and CRM systems to get the solutions he needed.https://www.brighttalk.com/webcast/15321/313421Gil Allouche, CEO, Metadata.iohttps://www.brighttalk.com/webcast/15321/313421"Artificial Intelligence"ChatbotsAI"Machine Learning""Data Analysis"ChatOps"Data Analytics""Marketing Analytics""Business Intelligence""Deep Learning"The Teslification of Banking: The Role of Ethical AI in Sustainable FinanceThu, 17 May 2018 10:00:00 +0000Artificial Intelligence has a huge role to play in banking, no more so than in sustainable finance. However, data is very patchy and much source data is not available to inform Sustainable Finance. The challenge as we set off on this new journey is to make sure that the data and algorithms used are transparent and unbiased.
In this session, Richard Peers, Director of Financial Services industry at Microsoft will share how disruption and new entrants are bringing new business models and technology to play in banking as in other industries like the Auto Industry
One new area is sustainable Finance, a voluntary initiative as part of the COP agreement on climate change but the data to inform the markets is a challenge. Big Data, Machine Learning and AI can help resolve this.
But with such important issues at stake, this session will outline how AI much be designed to ethical principles
Tune in to this session for a high-level view of some key trends and technologies in banking. Get insight into sustainable finance; why AI can help and why Ethical AI is important; and the Microsoft principles for Ethical AI.https://www.brighttalk.com/webcast/15321/315311Richard Peers, Director Financial Services Industry, Microsofthttps://www.brighttalk.com/webcast/15321/315311"Financial Technology"banking"Data Analytics""Artificial Intelligence"AI"Financial Services"Sustainability"sustainable finance"Customer-Centered AI: A Radical StrategyWed, 16 May 2018 21:00:00 +0000AI is a powerful tool, but often companies get more excited about their technology than in the customer value they’re creating. Geordie Kaytes will share a framework for building customer-centered AI products. You’ll learn how to craft a far-reaching vision and strategy centered around customer needs and balance that vision with the day-to-day needs of your company.
Learn a framework for creating and communicating a vision that describes the overall direction of your AI product, a defined product strategy, a cross-functional roadmap aligned with the strategy, and a list of metrics that track progress towards the strategy
About the Speaker: Geordie Kaytes is the director of UX strategy for Boston-area UI/UX studio Fresh Tilled Soil and a partner at Heroic (https://www.heroicteam.com), a design leadership coaching firm that helps growing companies scale their digital product capabilities. A digital product design leader with deep experience in design process transformation and cross-functional expertise in design, strategy, and technology, Geordie has helped companies in a broad range of industries develop a 360-degree view of their product design processes. Previously, he did his obligatory tour of duty in management consulting. He holds a BA from Yale in political science. He is a coauthor of the Medium publication Radical Product.https://www.brighttalk.com/webcast/15321/312421Geordie Kaytes, Partner, Heroichttps://www.brighttalk.com/webcast/15321/312421"Artificial Intelligence"AI"Machine Learning""Start Up Marketing""Start Ups""Product Management""Product Development""Business Agility"UX"User Experience"Applying AI and Machine Learning to Fight Fraud at ScaleWed, 16 May 2018 17:00:00 +0000With large-scale data breaches in the news almost every month, financial institutions are becoming increasingly vulnerable to synthetic identity fraud, account takeovers and other types of malicious activity.
Fraudsters today have access to powerful computing resources and tools, giving them the ability to launch large-scale sophisticated attacks. This has led to an increasing number of businesses turning to more advanced methods for identifying suspicious activity and mitigating risk.
Tune into this session to learn about new fraud trends and to also find out how AI and big data technology can be applied to uncover new fraud patterns early before they have time to do serious damage.https://www.brighttalk.com/webcast/15321/316753Julian Wong, VP of Customer Success, DataVisorhttps://www.brighttalk.com/webcast/15321/316753AI"Artificial Intelligence""Machine Learning""Fraud Preevention""Risk Management"Compliance"Financial Technology""Financial Services""Financial Institutions"Intelligent Agents and a New Class of Perceived ErrorsWed, 16 May 2018 15:00:00 +0000As we move to the conversational UI and take advantage of NLP and AI in general, we change the way we interact with technology dramatically. The standard GUI is many times fully eliminated, leading to novel challenges in UX. Tasks are removed from the user’s oversight with invisible or seamless software, and the output is not always as expected. But sometimes that output is correct within the parameters given and simply perceived as an error.
Dennis will talk through where x.ai has encountered error perception issues as we seek to develop frictionless software, how we thought about the problem and the communication strategies we’re exploring to resolve it.https://www.brighttalk.com/webcast/15321/315285Dennis R. Mortensen, CEO and Founder, x.aihttps://www.brighttalk.com/webcast/15321/315285AI"Artificial Intelligence""Machine Learning"NLP"Natural Language Processing"Chatbots"Big Data""Customer Service""Customer Experience"MarketingHow Banks Can Use The Power of AI to Fight FraudWed, 16 May 2018 15:00:00 +0000As artificial intelligence and machine learning takes the stage, its wide availability is creating an arms race. Financial institutions are leveraging the predictive power of machine learning to uncover hidden patterns and defeat fraud. Meanwhile, criminals are scrambling to find the institutions with the weakest links.
Organizations in financial services are sorting through the generalized hype about machine learning as they seek to implement the best solution. This webinar can help.
Join Feedzai’s Chief Science Officer Pedro Bizarro as he shares his insights from his years of developing the data science behind Feedzai’s AI-enabled fraud detection platform, which runs inside some of the world’s largest banks, acquirers, and merchants.
Watch this webinar to discover:
- Why machine learning is overthrowing rules
- The secrets to great models in fraud detection
- The key use cases in financial services that will be transformed
- And why “OpenML,” which allows data scientists to import existing data science approaches to a third party system, represents the next frontierhttps://www.brighttalk.com/webcast/15321/318737Dr. Pedro Bizarro, Chief Science Officer, Feedzaihttps://www.brighttalk.com/webcast/15321/318737FintechOpenML"Machine Learning""Artificial Intelligence""Financial Fraud""Fraud Detection""Financial Services"AI"Data Science"SecurityNetwork Telemetry & Analytics in the Age of Big Data & AITue, 15 May 2018 21:00:00 +0000We are seeing a sea change in networking. SDN has enabled improvements in network telemetry and analytics.
In this presentation, I will talk about the current challenges that are out there and how the technology change is helping us to improve the overall network telemetry. Furthermore, I will share how deep learning techniques are being used in this field. Please join this webinar to understand how the field of network telemetry is changing.https://www.brighttalk.com/webcast/15321/313261Ruturaj Pathak, Senior Product Manager, Networking BU, Inventechttps://www.brighttalk.com/webcast/15321/313261"Machine Learning""Big Data"AI"Artificial Intelligence""Data Analytics""Network Architecture""network analytics""Data Architecture""Deep Learning"SDNThe Predictive Bank of the Future: How AI will Change Banking ForeverTue, 15 May 2018 17:00:00 +0000This Webinar explains how Big Data, Artificial Intelligence, and Machine Learning is going to transform the future Banking Industry. Banks which can manage this Big Data evolution successfully will survive and thrive, and give a more holistic and personalized customer service, thereby increasing their revenues tremendously.
The key takeaway from this Webinar is that “Right information at the right place and the right time is going to be the real money and will shape the future of Banking Industry.”
Tariq is a Fintech Expert, writer, and thinker based in Toronto Canada and is currently working on an initiative to disrupt the conventional Banking Industry with “Big Data Predictive Analytics Model” of his startup.https://www.brighttalk.com/webcast/15321/311883Tariq Ali Asghar, CEO, Emerging Star investment Grouphttps://www.brighttalk.com/webcast/15321/311883"Machine Learning"Fintech"Artificial Intelligence""Predictive Analytics""Big Data""Prescriptive Analytics""Data Analytics""Financial Markets"AIMLAn Introduction to Deep LearningTue, 15 May 2018 15:00:00 +0000In this webinar, Mustafa Kabul, Principal Data Scientist, SAS, will provide an introduction to deep learning and its applications.
Mustafa is a data scientist in the Artificial Intelligence and Machine Learning R&D at SAS, where he leads innovative projects for SAS’s next-generation AI-enabled analytics products, including applications of deep learning. His current focus is on applying deep reinforcement learning to operational problems in the CRM and IoT spaces. An operations research expert working at the interface of machine learning and optimization, previously, he developed distributed, large-scale integer optimization algorithms for marketing optimization problems. Ever the optimization enthusiast, Mustafa always looks into ways to improve the algorithms. Nowadays his favorites are the distributed stochastic gradient and online learning methods. Mustafa holds a PhD from the University of North Carolina at Chapel Hill, where his research focused on game theory models of supply chains selling to strategic customers.https://www.brighttalk.com/webcast/15321/313259Mustafa Kabul, Principal Data Scientist, SAShttps://www.brighttalk.com/webcast/15321/313259"Machine Learning""Deep Learning"DLPAI"Data Analytics""Big Data""Open Source""Artificial Intelligence""Business Analytics""neural networks"Architecting a Security & Compliance Ready Data Science PlatformTue, 27 Mar 2018 17:00:00 +0000Join David Talby of Pacific AI as he overviews the security and compliance checklist when architecting a data science platform.https://www.brighttalk.com/webcast/15321/296419David Talby, CTO, Pacific AIhttps://www.brighttalk.com/webcast/15321/296419Security"Data Compliance""Data Privacy""Security Analytics""Data Analytics""Big Data"PrivacyGDPR"Data Architecture""Big Data Analytics"How can Financial Services use AI to reduce unconscious bias?Tue, 27 Mar 2018 15:40:00 +0000Helen Mitchell, FinTech Specialist, Venture Capital Unit, UK Department for International Trade talks about AI and its role within Financial Services.
How can FS use AI to reduce unconscious bias within their organisations?
What are the key challenges in adopting AI within FS?
Will the AI era present a new opportunity for women in FS and FinTech?https://www.brighttalk.com/webcast/15321/312923Helen Mitchell, FinTech Specialist, Venture Capital Unit, UK Department for International Tradehttps://www.brighttalk.com/webcast/15321/312923AI"Artificial Intelligence""Financial Services"Diversity"Women In Tech"Neural Networks/Deep Learning to Transform Modern AI PlatformThu, 22 Feb 2018 18:00:00 +0000AI is changing the way organizations do businesses and how they interact with customers. AI continues to drive the change. Deep Learning and Natural Language Processing will become standards in AI solutions. Deep Learning is based on brain simulations and uses deep neural networks. AlphaGo is the first AI system to defeat a professional human Go player, the first program to defeat a Go world champion, and arguably the strongest Go player in history. Baidu improved speech recognition from 89% to 99% using Deep Learning. Every AI and Machine learning scientist is required to know Deep Learning tools in his / her current job scenario.
In this session, we will be discussing what is Deep Learning and why it is gaining popularity. We will explain AI solutions using Deep Learning with a practical example. Deep Learning has an edge over other machine learning techniques as with the increased volume of data, performance increases with Deep Learning. Further, Deep Learning enables Hierarchical Feature Learning i.e. learning feature hierarchies.https://www.brighttalk.com/webcast/15321/297527Dr. Umesh Hodeghatta Rao, CTO, Nu-Sigma Analytics Labshttps://www.brighttalk.com/webcast/15321/297527"Big Data""Data Visualization""Machine Learning""Deep Learning""Artificial Intelligence""Data Analytics"Panel Discussion: The Road to a Data-Driven BusinessThu, 22 Feb 2018 13:00:00 +0000Join Jenn Stirrup (Director, DataRelish), Gordon Tredgold (CEO & Founder, Leadership Principles LLC), Joanna Schloss (Data Expert) and Lyndsay Wise (Solution Director, Information Builders) as they discuss what it takes to take a business from needing analytics to leveraging analytics successfully.https://www.brighttalk.com/webcast/15321/302215Jen Stirrup, Gordon Tredgold, Joanna Schloss, & Lyndsay Wisehttps://www.brighttalk.com/webcast/15321/302215"Big Data""Data Visualization""Data Analytics""Business Intelligence""Digital Transformation""Business Analytics"Artificial Intelligence in FinTech: Taking the LeapThu, 25 Jan 2018 14:00:00 +0000Artificial Intelligence and Machine Learning has the potential to transform Financial Services, but so far we have seen few successful use cases. Is 2018 finally the year this technology turns from hype to reality? Which FinTechs are utilising AI best to serve the end consumers and what are the challenges that come with this? Can incumbents see past chatbots and start implementing intelligence products and solution that will make a real impact on their business model? As part of its IFGS 2018 Webinar Series, Innovate Finance will host a discussion looking at the current and potential future impact of AI technology in Financial Services and hear from companies leading the way.
Moderator:
Roshan Rohatgi, Senior Innovation & Entrepreneurship Professional, RBS
Speakers:
Clare Flynn Levy, Founder and CEO, Essentia Analytics
Benedetta Arese Lucini, Co-Founder and CEO, Oval Money
Dom Barker, CTO and Co-Founder, Fluidlyhttps://www.brighttalk.com/webcast/15321/295967Innovate Financehttps://www.brighttalk.com/webcast/15321/295967AI"Artificial Intelligence""Fintech Security"Innovation"Financial Technology"RIDE Containerized Data Science IDE server For EnterpriseThu, 14 Dec 2017 16:00:00 +0000RIDE is an all-in-one, multi-user, multi-tenant, secure and scalable platform for developing and sharing Data Science and Analytics, Machine Learning (ML) and Artificial Intelligence (AI) solutions in R, Python and SQL.
RIDE supports developing in notebooks, editor, RMarkdown, shiny app, Bokeh and other frameworks. Supported by R-Brain’s optimized kernels, R and Python 3 have full language support, IntelliSense, debugger and data view. Autocomplete and content assistant are available for SQL and Python 2 kernels. Spark (standalone) and Tesnsorflow images are also provided.
Using Docker in managing workspaces, this platform provides an enhanced secure and stable development environment for users with a powerful admin control for controlling resources and level of access including memory usage, CPU usage, and Idle time.
The latest stable version of IDE is always available for all users without any need of upgrading or additional DevOps work. R-Brain also delivers customized development environment for organizations who are able to set up their own Docker registry to use their customized images.
The RIDE Platform is a turnkey solution that increases efficiency in your data science projects by enabling data science teams to work collaboratively without a need to switch between tools. Explore and visualize data, share analyses, all in one IDE with root access, connection to git repositories and databases.https://www.brighttalk.com/webcast/15321/294013Ali Marami, Data Science Advisor at R-Brainhttps://www.brighttalk.com/webcast/15321/294013#IDE"#machine learning""#artificial intelligence"#cloud"#data science"#platformBig Data Analytics vs Privacy: Risks and OpportunitiesThu, 14 Dec 2017 13:00:00 +0000Today's modern businesses gain competitive edge and remain innovative by using advanced analytics and machine learning. Utilising big data can build customer loyalty by improving personalised marketing campaigns; optimises fraud detection; and improves products and services by advanced testing. However, the data sets required for advanced analytics are often sensitive, containing personal customer information, and therefore come with an inherent set of privacy risks and concerns.
This roundtable will cover a few key questions on data utility and privacy:
- In what ways advanced analytics help businesses gain competitive edge?
- What is defined as sensitive data?
- Will GDPR affect the way you're allowed to use customer data?
- What opportunities are there to utilise sensitive data?
Unlocking the data’s true value is a challenge, but there are a range of tools and techniques that can help. This live discussion will focus on the data analytics landscape; compliance considerations and opportunities for improving data utility in 2018 and beyond.
Key takeaways:
- A view of the data protection landscape
- How to remaining compliant with GDPR when using customer data
- Use cases for advanced analytics and machine learning
- Opportunities for maximising data utility in 2018https://www.brighttalk.com/webcast/15321/291293Rob Anderson, Head of Field Operations (Privitar),Tim Hickman, Associate (White & Case)https://www.brighttalk.com/webcast/15321/291293"Big Data""Data Protection""Machine Learning""Data Analytics""Business Intelligence"GDPRAI in VR: Enabling a world of “6 DoF” AnalyticsWed, 13 Dec 2017 16:00:00 +0000Augmented Reality and Virtual Reality hold the potential to affect nearly every facet of daily business. Those implications go beyond the disruptive nature of even the mobile phone.
Explore the business implications of AR & VR with John as he discusses trends through the lens Big Data, Analytics, and AI.
John, IBM’s Head of AR/VR Labs, will discuss real-world examples of compelling work in these categories, draw on the lessons learned, and expand on future trends that businesses should seriously consider when using AR or VR in their company.https://www.brighttalk.com/webcast/15321/290489John Cutter, Product Manager, Watson Developers Labs & AR/VR Labs, IBMhttps://www.brighttalk.com/webcast/15321/290489VR"Virtual Reality"AI"Artificial Intelligence""Business Intelligence""Data Science"Natural Language Processing Exposed: The Art, the Science and the ApplicationsTue, 12 Dec 2017 22:00:00 +0000In this presentation, we will discuss several applications of NLP such as information extraction, knowledge synthesis, and entity retrieval. We will discuss how these fundamental set of algorithms are applicable for a wide array of use-cases and industry verticals such as healthcare, business intelligence, life sciences, legal, e-commerce, sales, and marketing.
Additionally, case studies from these areas will be used to provide an intuitive explanation of complex NLP topics such as distributional semantics, computational linguistics, question-answering, conversational AI, and applications of deep learning to text data.
Dr. Sid J. Reddy's Bio: https://www.conversica.com/sid-j-reddy/https://summits.brighttalk.com/webinar/natural-language-processing-exposed-the-art-the-science-and-the-applications/Sid J Reddy, Chief Scientist, Conversicahttps://summits.brighttalk.com/webinar/natural-language-processing-exposed-the-art-the-science-and-the-applications/NLP"Artificial Intelligence""Data Analytics""Business Intelligence""Deep Learning""Data Analysis"The Human Role in AITue, 12 Dec 2017 15:00:00 +0000Artificial Intelligence (AI) is a hot topic, and there is widespread alarm that AI will replace humans in the analytical process. Adam Selipsky, the CEO of Tableau, terms this a myth, and said recently that AI's role will remain that of an assistant to the analytics professional.
In this talk we go beyond that, and look at some interesting aspects of the human role as an integral component of machine learning and statistical modeling.
We discuss how human expertise "supervises" machine learning, how reliance on multiple sources can deliver surprising expertise, and when that system can go wrong.https://www.brighttalk.com/webcast/15321/285241Peter Bruce, President and Founder, The Institute for Statistics Education at Statistics.comhttps://www.brighttalk.com/webcast/15321/285241AIAnalyticsstatisticsmodelling"Machine Learning""Business Intelligence"AI in social housingTue, 12 Dec 2017 13:00:00 +0000This session explores what artificial intelligence can add to data analysis in the social housing sector. Is it better than traditional statistical techniques?
HouseMark is the leading provider of data analysis and insight solutions to social housing providers. Illumr took part in HouseMark’s accelerator programme introducing innovative technology start-ups to the social housing sector. HouseMark have worked with illumr to test out the appetite for AI and explore what insights can be gained using data typically held by social housing providers.https://www.brighttalk.com/webcast/15321/288553Vicki Howe, Head of Product Development, HouseMark; Jason Lee, CEO, illumrhttps://www.brighttalk.com/webcast/15321/288553AI"Machine Learning""Data Analytics""Big Data"HousingFrom Big Data to AI: Building Machine Learning ApplicationsTue, 12 Dec 2017 12:00:00 +0000The newest buzzword after Big Data is AI. From Google search to Facebook messenger bots, AI is also everywhere.
Machine learning has gone mainstream. Organizations are trying to build competitive advantage with AI and Big Data.
But, what does it take to build Machine Learning applications? Beyond the unicorn data scientists and PhDs, how do you build on your big data architecture and apply Machine Learning to what you do?
This talk will discuss technical options to implement machine learning on big data architectures and how to move forward.https://www.brighttalk.com/webcast/15321/294103Maloy Manna Data engineering PM, AXA Data Innovation Labhttps://www.brighttalk.com/webcast/15321/294103"Big Data""Machine Learning"AI"Data Science""Data Architecture""Artificial Intelligence"How to Build an Open Sourced Data Science PlatformThu, 26 Oct 2017 17:00:00 +0000This talk shows how to build a scalable data science platform, using only free, commercially-friendly open source software. The end-to-end architecture covers interactive queries & visualization, machine learning & data mining, deploying models to production, and a full 24x7 operations toolset.
Requirements include what an enterprise typically requires: Strong security (authentication, authorization, audit, encryption, multi-tenancy), active monitoring for both systems & data, backup & restore, user management (with LDAP integration), distributed deployment on commodity hardware, auto scaling, and self-healing when containers or services go down. Technologies covered include Spark, Hadoop, ElasticSearch, Kibana, Jupyter notebooks, TensorFlow, OpenScoring, Docker Swarm, and supporting tools.
This talk is intended for practicing architects and technology leaders, who need to understand how to best leverage the open source ecosystem in this space and what it takes to integrate the available cutting-edge technologies into a cohesive, enterprise-grade and production-grade architecture.https://summits.brighttalk.com/webinar/how-to-build-an-open-sourced-data-science-platform/David Talby, CTO, Pacific AIhttps://summits.brighttalk.com/webinar/how-to-build-an-open-sourced-data-science-platform/"open source""data science""data analytics""Big Data"ApacheInfrastructureEngaging Content Creation with Artificial IntelligenceThu, 19 Oct 2017 15:00:00 +0000Content marketers struggle with creating engaging content. With social media automation tools, most of the hard-lifting on content distribution is solved. The hard thing about content marketing is not marketing, it's the creation. The age-old question still stands true: How to tell an engaging story that creates "know-like-trust" factor with your audience and results in engagement and sales.
In this webinar, we will cover:
1) How to identify which tone of voice is generating high engagement for your brand
2) How to identify the type of story that resonates with your audience?
3) How to identify the style of voice that generates high-engagement for your brandhttps://www.brighttalk.com/webcast/15321/283687Dhaval Bhatt, Founder and CEO of Resonate AIhttps://www.brighttalk.com/webcast/15321/283687ai"Artificial Intelligence""Content Marketing""Content Creation"engagement"Engagement Marketing"Image recognition with deep learningWed, 11 Oct 2017 17:00:00 +0000In this webinar, we will learn about image recognition with deep learning. After a brief overview of what deep learning is, and why it matters, we will learn how to classify dogs from cats. That is, how to train a model to recognize dog images from cat images.
We use Keras, an easy to use python deep learning library that sits on top of Tensorflow, and “fine-tuning”, a very important skill for any deep learning practitioner, to train a model to classify the images.
Once we trained our model to classify dogs from cats images with high accuracy, we dig into the details of the trained model and look at its building blocks, i.e., Convolutional Neural Networks (CNN), Fully Connected Block and activation functions to develop an understanding of how the deep learning model works.https://www.brighttalk.com/webcast/15321/282229Layla Tadjpour, Data Science Consultant, Ph.D. in Electrical Engineering from University of Southern California.https://www.brighttalk.com/webcast/15321/282229"Deep Learning""Machine Learning""Data Analytics""Data Science"PythonData scientists: Can't live with them, can't live without them.Thu, 24 Aug 2017 15:00:00 +0000There has been a flood of publicity around big data, data processing, and the role of predictive analytics in businesses of the future.
As business operators how do we get access to these valuable business insights, even when there is not a data analyst around to walk us through their results?
- Should your software emulate a data scientist?
- Learn about the power of data visualizations.
- Learn about creating value from disperse data sets.https://www.brighttalk.com/webcast/15321/271273Wyatt Benno, CEO, DataHerohttps://www.brighttalk.com/webcast/15321/271273"big data""data visualization"dataanalyticsArtificial Intelligence: Methods, Applications and ImpactsWed, 23 Aug 2017 18:00:00 +0000Artificial intelligence has greatly changed the way we live since the 20th century. It involves the science and engineering of making machines intelligent and autonomous using computer programs.
The processing power of computers has been on the exponential increase with cost of processors and storage decreasing. This has made research and developments efforts in AI areas such as deep learning, once thought to be impossible possible.
In this webinar, we will examine current methods, application domains of specific methods, their impacts on our daily lives and try to answer questions on ethics of applying these technologies.https://www.brighttalk.com/webcast/15321/274383Arinze Akutekwe, PhD Data Scientist, BAS EMEIA – Intelligent Enterprise - Analytics at Fujitsuhttps://www.brighttalk.com/webcast/15321/274383AI"artificial intelligence""machine learning"Hunting Criminals with Hybrid Analytics, Semi-supervised Learning, & FeedbackWed, 23 Aug 2017 17:00:00 +0000Fraud detection is a classic adversarial analytics challenge: As soon as an automated system successfully learns to stop one scheme, fraudsters move on to attack another way. Each scheme requires looking for different signals (i.e. features) to catch; is relatively rare (one in millions for finance or e-commerce); and may take months to investigate a single case (in healthcare or tax, for example) – making quality training data scarce.
This talk will cover a code walk-through, the key lessons learned while building such real-world software systems over the past few years. We'll look for fraud signals in public email datasets, using IPython and popular open-source libraries (scikit-learn, statsmodel, nltk, etc.) for data science and Apache Spark as the compute engine for scalable parallel processing.
David will iteratively build a machine-learned hybrid model – combining features from different data sources and algorithmic approaches, to catch diverse aspects of suspect behavior:
- Natural language processing: finding keywords in relevant context within unstructured text
- Statistical NLP: sentiment analysis via supervised machine learning
- Time series analysis: understanding daily/weekly cycles and changes in habitual behavior
- Graph analysis: finding actions outside the usual or expected network of people
- Heuristic rules: finding suspect actions based on past schemes or external datasets
- Topic modeling: highlighting use of keywords outside an expected context
- Anomaly detection: Fully unsupervised ranking of unusual behavior
Apache Spark is used to run these models at scale – in batch mode for model training and with Spark Streaming for production use. We’ll discuss the data model, computation, and feedback workflows, as well as some tools and libraries built on top of the open-source components to enable faster experimentation, optimization, and productization of the models.https://summits.brighttalk.com/summit/powering-predictive-analytics/machine-learning-038-artificial-intelligence/David Talby, CTO, Pacific AIhttps://summits.brighttalk.com/summit/powering-predictive-analytics/machine-learning-038-artificial-intelligence/"IT security"breachsparkapacheanalyticsUsing Predictive Analytics to Empower Customer ExperienceWed, 23 Aug 2017 15:00:00 +0000Predictive analytics & artificial intelligence are transforming the way all companies connect with customers. The customer experience is on the verge of being completely redefined with A.I.
In this talk, you will learn what it takes for a business to deliver this new 21st-century customer conversation. Patrick will cover:
- Collecting & Managing CX data - What I learned analyzing 3 billion records at Amazon
- We have the data, now what? AI & the Future of Customer Experience
- How to use Predictive Analytics to find the right customer on the right channel
- 3 ways to drive ROI for your business by applying AI to improve the Customer Experience
Patrick is CEO of Lumidatum which helps CMOs apply artificial intelligence to the customer experience in order to grow revenue. He has been in the data and analytics space for over a decade including running a machine learning and advanced analytics team at Amazon.https://summits.brighttalk.com/webinar/using-predictive-analytics-to-empower-customer-experience/Patrick Rice, CEO, Lumidatumhttps://summits.brighttalk.com/webinar/using-predictive-analytics-to-empower-customer-experience/AI"data analytics""customer experience""big data"Putting AI into LeAdershIpWed, 23 Aug 2017 12:00:00 +0000Artificial Intelligence (AI) is not a technology for the future; it’s a huge business opportunity for today. But how can your organisation become a trailblazer for AI innovation, transforming the way you work to deliver immediate – and lasting – bottom line value?
Former CERN scientist, Prof. Dr. Michael Feindt, is one of the brightest minds in Machine Learning. Join him for a 30-minute masterclass in how to apply AI to your business.
You’ll learn how AI can:
•Make sense of market and customer complexity, to deliver quick and effective decisions every single day
•Increase workforce productivity to improve output and staff morale
•Enhance decision-making and forecasting accuracy, for operational efficiency and improved productivity
•Be implemented into your business quickly, easily, with minimal disruption
Michael will also share real-life examples of how international businesses are using AI as a transformation tool, from his experience as founder of market-leading AI solution provider, Blue Yonder.https://www.brighttalk.com/webcast/15321/273861Prof. Dr. Michael Feindt, Founder & Chief Scientific Officer, Blue Yonderhttps://www.brighttalk.com/webcast/15321/273861AIanalyticsbusinessleadershipdataretailAI for Innovation and TransformationThu, 20 Jul 2017 08:00:00 +0000Big data, to date, has been focused on external drivers such as customer economics and market intelligence. To compete, market leaders must leverage machine learning and artificial intelligence to aggressively ingest and respond to both external and internal data-centric insights. There is no exception. FSI must both innovate and transform to stay relevant.
Today, Angelique Mohring discusses why FSIs must leverage AI to master the future by driving greater ROI on multi-million/billion dollar innovation and transformation spend.https://www.brighttalk.com/webcast/15321/270431Angelique Mohring, GainXhttps://www.brighttalk.com/webcast/15321/270431AIFintechdata"machine learning""big data"Radiant, a powerful open source Shiny application for business analyticsTue, 11 Jul 2017 17:00:00 +0000Radiant is a robust tool for business analytics and running sophisticated models without any need for code development. It leverages the functions and tools in R and at the same time provides a user-friendly interface. With Radiant, you can manipulate and visualize your data, run different models from simple OLS to decision trees (CART) and neural networks, and evaluate your results.
The application is based on the Shiny package and can be run locally or on a server. Radiant was developed by Vicent Nijs. In this webinar, we review the tools available in Radiant and explain how easily you can use this tool without any setup or installation on your system.
Radiant key features:
• Explore: Quickly and easily summarize, visualize, and analyze your data
• Run different models: OLS, GLM, Neural Networks, Naïve Bayes and CART.
• Cross-platform: It runs in a browser on Windows, Mac, and Linux
• Reproducible: Recreate results and share work with others as a state-file or an Rmarkdown report
• Programming: Integrate Radiant's analysis functions with your own R-code
• Context: Data and examples focus on business applications
After this webinar you will learn:
• Data manipulation and running different models
• How to run advanced analytics in a browser on any device even in your tablet or iPad.
Presenter bio:
Ali has a Ph.D. in Finance from the University of Neuchatel in Switzerland and a BS in Electrical Engineering. He has extensive experience in financial modeling, quantitative modeling, and financial risk management in several US banks.https://www.brighttalk.com/webcast/15321/268867Ali Marami Chief Data Scientisthttps://www.brighttalk.com/webcast/15321/268867datascienceanalyticsopensourceRshinyBinomial and Multinomial Logistic Regressions in RThu, 29 Jun 2017 17:00:00 +0000Logistic regressions are the basic of machine learning. In this webinar, we discuss binomial and multinomial logistic regressions, how we implement them in R and test their performance. We will also review few examples of their usage in industry. In addition, you will learn how to use R-Brain advanced IDE when implementing the model.
- Logistic regressions fundamentals and how to interpret estimates
- Binomial and Multinomial logistic regressions
- Implement logistic regressions in R
- Performance measurement in logistic regressions
- Generating and understanding ROC curve
- Building confusion metrics and understanding its elements
- Examples of model application in industry
- Learn about new advanced IDE
Presenter bio:
Ali has a Ph.D. in Finance from the University of Neuchatel in Switzerland and a BS in Electrical Engineering. He has extensive experience in financial modeling, quantitative modeling, and financial risk management in several US banks.https://www.brighttalk.com/webcast/15321/267691Ali Marami Chief Data Scientisthttps://www.brighttalk.com/webcast/15321/267691"machine learning"cloud"data science"Death to Traffic: How Smart Cities are Changing TransportationFri, 23 Jun 2017 21:00:00 +0000From automated vehicles to ride hailing apps, transportation as we know it is changing - and fast. But new technologies alone won't help communities build the efficient, equitable, and sustainable transportation networks communities want. In fact, these innovative technologies could do just the opposite, especially if they are not deployed wisely. Cities must collect the right data and enact the right policies to ensure they do not exacerbate problems like inequity and traffic, and to hold themselves accountable to the promise of new mobility technologies.
In this webinar, you will find out why - and how - the smartest cities of tomorrow will be those that adopt data-driven transportation strategies today. Join for Laura Schewel's presentation to gain insights into:
• Why the status quo for transportation data collection is no longer good enough
• The types of Massive Mobile Data that are useful for transportation and urban planning
• Algorithmic processing techniques that are critical for making this data useful
• Case studies from California and Virginia that demonstrate why Massive Mobile Data drives more effective transportation planning
• A forward-looking blueprint for using Massive Mobile Data to maximize the potential benefits of new transportation technologies - and minimize negative impacts
Laura Schewel founded StreetLight Data, a mobility analytics provider, after spending more than a decade as an advanced transportation researcher and statistician at the Rocky Mountain Institute and FERC. She has particular expertise in transportation systems, sustainability and safety, and vehicle/system modeling and analysis.https://www.brighttalk.com/webcast/15321/262463Laura Schewel, CEO, StreetLight Datahttps://www.brighttalk.com/webcast/15321/262463"smart cities"IoT"data analytics""big data"dataHow IoT Will Make Healthcare Healthy, Wealthy, & WiseFri, 23 Jun 2017 17:00:00 +0000IoT is a technology that has the potential to make us healthy, wealthy, and wise especially in healthcare. Healthcare is just now adopting IoT to improve patient outcomes and decrease the cost of care.
In this webinar, you’ll learn:
- How to identify if an IoT solution will work for your use case.
- What others in healthcare are using IoT for.
- The challenges of IoT in healthcarehttps://www.brighttalk.com/webcast/15321/257155Jarie Bolander, COO, Lab Sensor Solutionshttps://www.brighttalk.com/webcast/15321/257155IoT"internet of things"healthcarePanel: Smart Fog and Transaction Management for Cities and MaritimeThu, 22 Jun 2017 17:00:00 +0000Fog computing represents a tectonic shift for the future of transaction management, distributed supply chain and overall experience. It blurs the lines between the edge and the cloud and puts the focus on the systems which manage and balance the delivery of coherent, end-to-end sessions and associated transaction level agreements. As a result, this new technology is pervasive in several industries.
Join this panel of experts as they discuss solutions with specific industry use cases from smart fog for Cities, Buildings, Ports, and Maritime.
Moderator: Katalin Walcott, Work Group Chair Manageability at OpenFog Consortium & Principal Engineer - IoT/Fog Computing Orchestration Architecture at Intel
Panelists:
- Jeff Fedders, President at OpenFog Consortium & Chief Strategist, IoTG Strategy and Technology Office at Intel
- Mark Dixon, Senior Architect for Smarter Cities at IBM
- Matthew Bailey, President, Powering IoT - Smart City advisor and strategist to governments, technology corporations, and economic development agencieshttps://www.brighttalk.com/webcast/15321/257169Moderator: Katalin Walcott (Intel) Panel: Jeff Fedders (OpenFog), Mark Dixon (IBM), Matthew Bailey (Powering IoT)https://www.brighttalk.com/webcast/15321/257169IoT"smart cities""data analytics"cloudToward Internet of Everything: Architectures, Standards, & InteroperabilityWed, 21 Jun 2017 15:00:00 +0000In this talk, Ram will provide a unified framework for Internet of Things, Cyber-Physical Systems, and Smart Networked Systems and Societies, and then discuss the role of ontologies for interoperability.
The Internet, which has spanned several networks in a wide variety of domains, is having a significant impact on every aspect of our lives. These networks are currently being extended to have significant sensing capabilities, with the evolution of the Internet of Things (IoT). With additional control, we are entering the era of Cyber-physical Systems (CPS). In the near future, the networks will go beyond physically linked computers to include multimodal-information from biological, cognitive, semantic, and social networks.
This paradigm shift will involve symbiotic networks of people (social networks), smart devices, and smartphones or mobile personal computing and communication devices that will form smart net-centric systems and societies (SNSS) or Internet of Everything. These devices – and the network -- will be constantly sensing, monitoring, interpreting, and controlling the environment.
A key technical challenge for realizing SNSS/IoE is that the network consists of things (both devices & humans) which are heterogeneous, yet need to be interoperable. In other words, devices and people need to interoperate in a seamless manner. This requires the development of standard terminologies (or ontologies) which capture the meaning and relations of objects and events. Creating and testing such terminologies will aid in effective recognition and reaction in a network-centric situation awareness environment.
Before joining the Software and Systems Division (his current position), Ram was the leader of the Design and Process group in the Manufacturing Systems Integration Division, Manufacturing Engineering Lab, where he conducted research on standards for interoperability of computer-aided design systems.https://www.brighttalk.com/webcast/15321/256305Ram D. Sriram, Chief of the Software and Systems Division, IT Lab at National Institute of Standards and Technologyhttps://www.brighttalk.com/webcast/15321/256305IoT"internet of things""data architecture"Machine Vision for large-scale Aerial ImageryThu, 15 Jun 2017 15:00:00 +0000Zbigniew will provide insight into how Tensorflight is building a digital brain capable of understanding the world from the sky. The approach is based on deep convolutional neural networks, inspired by visual processing in the human brain.
The company has partnered with DroneDeploy, the leading platform for collection aerial imagery via drones.
Tensorflight’s first machine vision solution can count different types of objects such as trees, crops, cars, livestock etc. It is based on state of the art research. Models are easily scalable and deployed on the cloud through almost real-time analysis and a distributed orchestration system. Zbigniew will discuss how they have solved problems of processing maps that are 30.000 x 30.000 pixels in size in almost real time.https://www.brighttalk.com/webcast/15321/263315Zbigniew Bogdan Wojna (Cofounder at TensorFlight Inc.; also PhD at UCL; Google, Nvidia, Microsoft)https://www.brighttalk.com/webcast/15321/263315AI"digital brain""visual processing"The Three A (AI-Art-Animation)Tue, 13 Jun 2017 15:00:00 +0000Davide is going to dive into why Art and Animation are fundamental parts of AI and robotics development, how an artist in your team can help increase dramatically the user experience and emotionally engagements with an AI and/or a robot. His presentation will include a behind the scene of the art choices behind the animation design of the first Olly robot iteration presented at TechCrunch Disrupt London 2015.https://www.brighttalk.com/webcast/15321/263311Davide La Sala (3D Generalist at Facebook, Roboticist)https://www.brighttalk.com/webcast/15321/263311AIroboticsanimationJupyter is more than notebooks, JupyterLab and beyond! (Webinar)Thu, 1 Jun 2017 17:00:00 +0000Join us to learn about JupyterLab, the new open source computational environment for Jupyter. Increase the performance of your data science projects by working in an integrated environment for your notebooks, editor, terminal and console. We will also discuss R-Brain cloud platform and its new R Python Cloud IDE which is built on JupyterLab.https://www.brighttalk.com/webcast/15321/262271Ali Marami Chief Data Scientisthttps://www.brighttalk.com/webcast/15321/262271"data science"RpythonanalyticsdataIDECharacter in TTSThu, 18 May 2017 15:00:00 +0000Text to speech synthesis systems today sound very realistic, with very few artifacts and minimal signal distortion, however with little expressivity or character. While systems are certainly capable of producing a wide range of emotions and speaking styles, enabling rich character driven experiences, these are seldom, bordering to never, used in commercial applications due to one simple problem. They require human manual design.
I will not propose a solution to this, but rather aim to state where the field currently is, and make a case for a more concerted effort into automating the use of human conversational elements in speech going beyond simply reconstructing the original signal as faithfully as possible.https://www.brighttalk.com/webcast/15321/259881Rasmus Dall, TTS Researcher at Jibo, Inc.https://www.brighttalk.com/webcast/15321/259881AI"machine learning""artificial intelligence"Reinforcement Learning: Recent Progress and Future ProblemsTue, 16 May 2017 15:00:00 +0000Reinforcement Learning (RL) is a field within AI that makes machines learn by trial-and-error. RL systems have improved enormously in the recent years, being able to master games like Space Invaders or Go.
However, we have many challenges ahead: How can we make RL systems that live in the real world, with real people? How can we make sure these systems remain stable and well-behaved?
In this talk we will explore these challenges and suggest a few ways forward to bring useful RL technology to people's daily lives.https://www.brighttalk.com/webcast/15321/259873Pedro Mediano, Research Scientist at Emotech Ltd.https://www.brighttalk.com/webcast/15321/259873AI"machine learning""artificial intelligence"AI for preventing fraud: What does the future look like?Thu, 11 May 2017 12:00:00 +0000What is AI and how is it different from traditional analytics?
How is AI currently applied in context of different types of fraud and data sets?
How does AI help people make smarter decisions and what does that mean for workflow and process + future roles working with AI
What do companies need to do to be AI ready for fraud prevention?
What does the future look like in terms of extension of AI capability and usefulness and how will this play out across into types of fraud and crime for example AML, Sanctions, employee misconduct etc?https://www.brighttalk.com/webcast/15321/255727Richard Maton (Sybenetix), Éric Sibony (Shift Technology), Javier Mira (FacePhi)https://www.brighttalk.com/webcast/15321/255727AIfraudAMLfintechanalyticspaymentsVideo Interview: Rethinking BI in the era of AI and Machine LearningThu, 27 Apr 2017 14:00:00 +0000Interview in partnership with BrightTALK, The Stack and Cloud Industry Forum
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BrightTALK discussed with Naveen Miglani, CEO and co-founder of SplashBI, the relationship between BI and digital transformation.
Among topics covered:
1. What is the future of BI?
2. What are the implications of AI and machine learning on BI?
3. What's the impact of digital transformation in the BI sector and vice versa?
4. What can organisations do today to best prepare for all the changes?
5. What are the key challenges for businesses in adopting and implementing a BI solution?
6. What's the role of IT now in a self-service BI environment?
7. Where are we seeing the most ROI when purchasing a BI reporting tool?
About the speaker:
Naveen Miglani is the CEO and Founder of Splash Business Intelligence and EiS Technologies. Naveen has more than 25 years of industry experience, including corporate strategy, service offerings, and business intelligence. Prior to joining EiS Technologies, Naveen held leadership roles at GE Energy and Oracle Corporation, as well as worked across many departments, including IT, Management, Business Development, Marketing, and Finance. Naveen holds a BS in Engineering and an MBA with a major in Information Systems and International Business from Mercer University.https://www.brighttalk.com/webcast/15321/254443Naveen Miglani, CEO and co-founder of SplashBI & Ina Yulo, Senior Content Strategist, BrightTALKhttps://www.brighttalk.com/webcast/15321/254443AI"machine learning""big data"BIanalyticsThe Secrets to WINNING with Machine LearningThu, 13 Apr 2017 21:00:00 +0000It’s easy to get caught in the excitement of machine learning and start optimizing RMSE, AUC or recall, but machine learning success starts with aligning to the business.
Join Patrick Rice, CEO of Lumidatum, as he leverages his decade of experience in big data analytics including implementing machine learning solutions at Amazon to outline the secrets to winning at machine learning and delivering real ROI to the business.https://summits.brighttalk.com/webinar/the-secrets-to-winning-with-machine-learning/Patrick Rice, CEO, Lumidatumhttps://summits.brighttalk.com/webinar/the-secrets-to-winning-with-machine-learning/"machine learning"AIdata"data analytics"Machine Learning To Increase Human UnderstandingThu, 13 Apr 2017 20:00:00 +0000There is a misconception that infusing automation into the customer experience will make it less human, and thus less relatable, to consumers. On the contrary, companies are pioneering AI technologies to enable them to gain a deeper understanding of the people they serve, resulting in experiences that are more relevant, personal, emotional, and ultimately rewarding--for customer and company alike.
Join Assaf Baciu, head of product and co-founder of Persado, who will demonstrate how Fortune 1000 brands are leveraging machine learning to create emotional relationships with their audiences.https://summits.brighttalk.com/webinar/machine-learning-to-increase-human-understanding/Assaf Baciu, Co-founder, SVP of Product & Engineering at Persadohttps://summits.brighttalk.com/webinar/machine-learning-to-increase-human-understanding/"machine learning"ML"artificial intelligence"DataThe Ways Machine Learning and AI Can FailThu, 13 Apr 2017 17:00:00 +0000Good applications of machine learning and AI can be difficult to pull off. Join Brian Lange, Partner and Data Scientist at data science firm Datascope, as he discusses a variety of ways machine learning and AI can fail (from technical to human factors) so that you can avoid repeating them yourself.https://www.brighttalk.com/webcast/15321/248455Brian Lange, Partner and Data Scientist, Datascopehttps://www.brighttalk.com/webcast/15321/248455"machine learning"AIdata"data analytics"Powering Possibilities in Machine Learning and Advanced AnalyticsThu, 13 Apr 2017 09:00:00 +0000Machine learning is all about the data, but it's often out of reach for analytics teams working at scale. Cloudera customers such as Wargaming.net can store, process and analyse 550 million events each day to help them improve gamers’ experiences and increase their customer lifetime value.
Whether you are new to machine learning and advanced analytics, or you already take advantage of the possibilities, this session will explore practical examples and give you some new ideas to take away. Discover how enterprise organisations can accelerate machine learning from exploration to production by empowering their data scientists with R, Python, Spark and more in one unified platform.https://www.brighttalk.com/webcast/15321/254153Wim Stoop, Senior Product Marketing Manager EMEA, Cloudera, Dr. Chris Royles, Systems Engineer, Clouderahttps://www.brighttalk.com/webcast/15321/254153Cloudera"Machine Learning"DatasparkpythonRHow to Build Chat-Bots Using Machine Learning and NLPWed, 12 Apr 2017 21:00:00 +0000Machine Learning, Artificial Intelligence and Natural Language Processing (NLP) are transforming the technological landscape in a wide range of applications. How Machine Learning frameworks have been applied in the real world continues to evolve and affect our daily lives, especially with chat bots.
In this session Dr. Hodeghatta Rao will explain the fundamental concepts of Natural Language Processing (NLP), what are the practical applications of NLP, how machine learning is adopted to process the natural language and finally end with an overview of QnA (chat) system.https://www.brighttalk.com/webcast/15321/248477Dr. Umesh Hodeghatta Rao, CTO, Nu-Sigma Analytics Labshttps://www.brighttalk.com/webcast/15321/248477"machine learning""chat bots"AIdataSemantic Natural Language Understanding w/ Spark, ML Annotators & DL OntologiesWed, 12 Apr 2017 17:00:00 +0000A text-mining system must go way beyond indexing and search to appear truly intelligent. First, it should understand language beyond keyword matching. (e.g. distinguishing between “Jane has the flu,” “Jane may have the flu,” “Jane is concerned about the flu," “Jane’s sister has the flu, but she doesn’t,” or “Jane had the flu when she was 9” is of critical importance.) This is a natural language processing problem. Second, it should “read between the lines” and make likely inferences even if they’re not explicitly written. (e.g. if Jane has had a fever, a headache, fatigue, and a runny nose for three days, not as part of an ongoing condition, then she likely has the flu.) This is a semisupervised ML problem. Third, it should automatically learn the right contextual inferences to make. (e.g. learning on its own that fatigue is sometimes a flu symptom—only because it appears in many diagnosed patients—without a human ever explicitly stating that rule.) This is an association-mining problem, which can be tackled via deep learning or via more guided ML techniques.
David Talby leads a live demo of an end-to-end system that makes nontrivial clinical inferences from free-text patient records and provides real-time inferencing at scale. The architecture is built out of open source big data components: Kafka and Spark Streaming for real-time data ingestion and processing, Spark for modeling, and Elasticsearch for enabling low-latency access to results. The data science components include spaCy, a pipeline with custom annotators, machine-learning models for implicit inferences, and dynamic ontologies for representing and learning new relationships between concepts.https://summits.brighttalk.com/webinar/semantic-natural-language-understanding-w-spark-ml-annotators-dl-ontologies/David Talby, CTO, Pacific AIhttps://summits.brighttalk.com/webinar/semantic-natural-language-understanding-w-spark-ml-annotators-dl-ontologies/"deep learning"machinelearningNLPdataNatural Language Processing and Recommender Systems for Media HousesWed, 12 Apr 2017 10:00:00 +0000We will teach you how to use NLP engine and Recommender System to boost page views and reduce bounce rate. We are also going to show you how artificial intelligence can make content producers more efficient and we'll discuss what is the future you should prepare for.https://www.brighttalk.com/webcast/15321/251019Pavel Kordik, Data Scientist at Recombeehttps://www.brighttalk.com/webcast/15321/251019NLPrecommender"machine learning"AIPanel: AI - The Backbone of the Modern StartupTue, 11 Apr 2017 17:00:00 +0000Panel discussion on the advent of artificial intelligence and machine learning in startups and business.
Panelists:
Mike Schmidt, Co-Founder, Dovetale, Inc.
Vijay Nadadur, Co-Founder & CEO, Stride.ai, Inc.
Joshua Montgomery, CEO, Mycroft AI
Brett Kuprel, Ph.D. Student, Standford AI Labhttps://summits.brighttalk.com/webinar/panel-ai-the-backbone-of-the-modern-startup/Panel: Mike Schmidt (Dovetale); Brett Kuprel (Stanford AI Lab); Vijay Nadadur (Stride.ai); Joshua Montgomery (Mycroft AI)https://summits.brighttalk.com/webinar/panel-ai-the-backbone-of-the-modern-startup/"artificial intelligence"AI"machine learning"MLAI Deep Learning for BanksTue, 11 Apr 2017 15:00:00 +0000As businesses begin to rely more on data-driven Artificial Intelligence applications, the new applications lead to new business issues, security, and privacy concerns. Each bank also needs to have a transparent system for total audit-ability so one can see who did what, and when. Bank can use AI Deep Learning techniques to identify erroneous or incomplete data to avoid misleading decisions.The new AI applications introduce a number of business, security and privacy issues which will have to be addressed. Neural Network, Natural Language Processing, Image Recognition, Speech Recognition and Sentimental Analysis techniques are Deep Learning techniques used in Banks and Financial Services. AI Deep Learning techniques are used to help with anti-money laundering programs, know-your-customer checks, sanctions list monitoring, billing fraud oversight or other general compliance functions, artificial intelligence can:
- Improve efficiency
- Weed out false-positive results
- Reduce costs and increase profits.
- Make better use of workers’ time and company resources
- Help banks handle their compliance monitoring
- Automate some legal and regulatory work
- Handle most customer service and improve customer experience
- Help in detection of Fraud
- Creates a massive competitive advantage
Bhagvan Kommadi, Founder, Architect Corner has around 20 years experience spanning in the creation of products & incubation of Product Startups. He has done Masters in Industrial Systems Engineering at Georgia Institute of Technology (1997) and Bachelors in Aerospace Engineering from Indian Institute of Technology, Madras (1993).Architect Corner is in CIO Advisor Top 25 Fast Growing AI startups in APAC for 2017. Architect Corner is part of Citi T4I Growth Accelerator.https://summits.brighttalk.com/webinar/ai-deep-learning-for-banks/Bhagvan Kommadi, CEO, Architect Cornerhttps://summits.brighttalk.com/webinar/ai-deep-learning-for-banks/AI"artificial intelligence"ML"machine learning"Will AI agents secretly plot to kill us?Tue, 11 Apr 2017 12:00:00 +0000In October 2016, two scientists from Google Brain published a research paper explaining how two AI managed to communicate in an encrypted way, leaving humans and other AI agents unable to decipher what they were telling each other.
More recently in February 2017, DeepMind (another Google subsidiary) presented how two AI agents that are competing in a game could develop "highly aggressive" behaviors.
I heard many people quoting these two facts, some excited, some scared, but both having no idea of what these research experiments were really about.
Far from the clickbait articles, we'll try to get a better understanding of what was the approach of the scientists, detailing the objectives and introducing Adversarial Neural Networks and Deep Reinforcement Learning principles.https://www.brighttalk.com/webcast/15321/250233Charles Vestur, Consultant at Eleven Strategyhttps://www.brighttalk.com/webcast/15321/250233AI"machine learning""deep learning"dataA Year in FinTech: A Report on AI, Big Data, Blockchain and moreFri, 7 Apr 2017 13:00:00 +0000As the fintech industry continues to mature, new segments are taking the lead when it comes to growth. With leading FinTech companies commercialising their services at pace, both independently and in collaboration with incumbents, the change is becoming real. While a few years ago FinTech companies were seen as a threat to incumbents, we are now seeing more focus on collaboration. Innovation in AI, big data and blockchain are opening up new avenues of growth and focus on specific customer pain points.
Startupbootcamp FinTech London and PwC have launched new FinTech Trends Report 'The startup-up view: a year in FinTech' revealing how fintech ecosystem evolves.
Panelists discuss the findings from the Report:
- Latest FinTech trends and the road ahead for fintechs
- UK funding data and applications data from Startupbootcamp FinTech London program in 2016
- Brexit effect: Despite Brexit, should UK remain a global FinTech leader?
- Corporate collaboration: The relationship between incumbents and fintechs continues to evolvehttps://www.brighttalk.com/webcast/15321/253727Francisco Lorca (Startupbootcamp FinTech), Robert Churcher (PwC), Alex Shammas (PwC)https://www.brighttalk.com/webcast/15321/253727fintechblockchainbanking"big data"AIbrexitBrightTALK Live Panel: AI and Machine LearningTue, 4 Apr 2017 16:00:00 +0000Last year, marketers were focused on predictive analytics and ABM. This year is proving to be all about how machine learning and artificial intelligence will impact marketing strategies.
Leading organisations powering the marketing technology landscape are quickly innovating to introduce new technologies and are determined to make marketers successful. But just how will this happen? What questions should you be asking in order to innovate on your go-to-market plans?
Join us on Tuesday 4th April as we discuss how machine learning and artificial intelligence is shaping marketing decisions, driving growth and improving the customer experience.https://www.brighttalk.com/webcast/15321/252177Joel Harrison, B2B Marketing; Justin Hall, Soto; Adam Sharp, Clever Touch, Dorian Logan, BrightTALKhttps://www.brighttalk.com/webcast/15321/252177AI"Machine Learning"MarTechABM"Account Based Marketing""Marketing Analytics"Data Science and Artificial IntelligenceTue, 4 Apr 2017 16:00:00 +0000Listen to the BrightTALK CEO Dorian Logan as he discusses AI and what it means for the landscape of business in 2017.
He will provide examples of side-effects from companies that have already began delving into the data they hold, to take them on the AI journey.https://www.brighttalk.com/webcast/15321/259713Dorian Logan, CTO and Co-founder, BrightTALKhttps://www.brighttalk.com/webcast/15321/259713AI"machine learning"martechstrategyArtificial Intelligence in a Marketing Automation WorldTue, 4 Apr 2017 15:00:00 +0000Predictive analytics and Account Based Marketing were marketing buzzwords thrown around a lot in 2016. Artificial intelligence and machine learning is now firmly on the marketer’s agenda to understand how they will impact and improve their marketing strategies.
Adam Sharp, MD & Co-Founder, CleverTouch Marketing – Europe’s leading Marketing Automation consultancy – discusses the impact of artificial intelligence on Marketing Automation environments, including:
- The importance of creating the marketing spine before implementing wider marketing technology
- Why Business Insight tools are required before artificial intelligence is implemented
- How Marketing Automation vendors are viewing and adapting to the hype of artificial intelligence and machine learninghttps://www.brighttalk.com/webcast/15321/258753Adam Sharp, MD & Co-Founder, CleverTouch Marketinghttps://www.brighttalk.com/webcast/15321/258753"artificial intelligence"ai"machine learning"[VIDEO] The Influence of Machine Learning and AI on Cyber SecurityTue, 28 Feb 2017 14:00:00 +0000BrightTALK will be broadcasting its in-depth interview with Troels Oerting, CISO of Barclays and Josh Downs, Community Manager of the BrightTALK Information Security Community.
Topics up for discussion will include:
- The new political climate and it's effect on Cyber Security and global cyber warfare
- The supposed Russian hack on the 2016 US election
- GDPR and what companies need to be doing to prepare for 2018
- Equal opportunities in the information security industry
- The rise of AI & Machine learning and how it'll influence the cyber world
- IoT and how to keep connected devices all safe and secure
- Incident response and steps to take if you've been breached!
- The 2017 threatscape and what you shoud be concentrating on
All this and much more - join us for the broadcast.https://www.brighttalk.com/webcast/15321/245301Josh Downs, Community Manager, BrightTALK & Troels Oerting, CISO, Barclayshttps://www.brighttalk.com/webcast/15321/245301"Cyber Security""IT Security"HackBreachSECOPS Automation on the Rise: Challenges, Directions, FuturesThu, 23 Feb 2017 22:00:00 +0000With the growing number of newly-released, longtime-funded automation tools and platforms, it’s clear that network security operations automation has reached an inflection point. While automation promises to provide significant value to security and network operations teams, along with hopes and promises comes concerns about limitations, potential failures, and critical oversights—especially when it comes to automating incident response. These limitations don’t stem from a lack of APIs, compute power, or the advancement of machine learning or artificial intelligence, but rather from the tools that are doing the detection, notification, and remediation.
Security operations expert Tom Gorup addresses short- and long-term automation challenges and provides analysis on why investments should be focused on arming people with more assistive technology, rather than attempting to remove humans from the equation entirely.
About the Presenter:
As Director of Security Operations for Rook Security, Tom Gorup oversees Managed Security Services and develops proprietary security operations management tools and services for organizations ranging from Fortune 100 firms to fast-growing startups. Prior to joining Rook, Tom served 6 years in the U.S. Army. As an Infantry Squad Leader, Tom served two tours in Iraq and Afghanistan, where he received a Purple Heart alongside several other awards for actions on the battlefield. Tom is GCIA certified, a participant in the GIAC mentor program and advisory board, Indiana Infragard Sector Specialist, and on the NexTech advisory board.https://www.brighttalk.com/webcast/15321/242337Tom Gorup, Director of Security Operations at Rook Securityhttps://www.brighttalk.com/webcast/15321/242337ddos"artificial intelligence""incident response"The Promise and the Perils of Machine Learning and Automating CybersecurityThu, 23 Feb 2017 16:00:00 +0000Those defending against cyberattacks are overwhelmed by the shear volume of incidents to respond to. It is so bad that it has been said there may be as many as 1 million unfilled cybersecurity jobs. Machine learning and automation is often heralded as a way to deal with this problem so that many incidents can be dealt with requiring pressing a button. While there is much promise is machine learning there are also many perils that need to be considered. Attackers know how we defend ourselves and they do use our defenses against us.
This talk will cover some of the open-source tools and techniques available for organizations to use to defend themselves while keeping in mind how attackers could undermine our efforts.https://www.brighttalk.com/webcast/15321/242091John Bambenek, Threat Systems Manager, Fidelis Cybersecurityhttps://www.brighttalk.com/webcast/15321/242091"artificial intelligence"hackerattackthreatAI & Machine Learning in CyberSecurity. What Is the Difference?Wed, 22 Feb 2017 16:00:00 +0000Artificial Intelligence and Machine Learning are becoming more pervasive in the cybersecurity space, but it is not the panacea everyone thinks it is. Lacking real case studies, many vendors must resort to simulated data and made-up scenarios to demonstrate their product capabilities. Moderator Sean Martin, Editor in Chief of ITSP Magazine, will ask the expert panelist to share their insights as to how AI and/or ML can be used to help address a variety of cybersecurity risks.
Leading into this actionable advice, the panel will provide additional insights, including:
• The difference is between AI and ML
• How AI and ML can be used for good … and evil
• What the future of AI and ML looks like
Moderator:
Sean Martin, Editor in Chief of ITSP Magazine
Panelists:
• Sven Krasser, Chief Scientist at CrowdStrike
• Igor Baikalov, Chief Scientist at Securonix
• Stephan Jou, CTO of Interset
• Engin Akyol, Co-Founder & CTO of Distil Networkshttps://www.brighttalk.com/webcast/15321/240319Sven Krasser, Igor Baikalov, Stephan Jou, Engin Akyol, and Sean Martinhttps://www.brighttalk.com/webcast/15321/240319"artificial intelligence""machine learning"AIRise of the Zombie Army - A Study of BotnetsWed, 22 Feb 2017 13:00:00 +0000From Haitian folklore to George A. Romero’s Dawn of the Dead, the use of Zombies in fictional settings has experienced a strong resurgence in recent years. With fact mirroring fiction, the real world has also faced the terror of dealing with a rise of mindless automatons capable of creating mass devastation on an international scale.
We are of course talking about the rise of Botnets.
Come join us for an interactive presentation with chief zombie-wrangler, Ronan Lavelle, on the insidious rise of this threat looking at recent attacks, the link in growth to insecure IoT devices and just what we can do to combat them.
This webinar is perfect for cyber professionals those who want to:
- stop data loss by defending against botnets
- better respond to incidents and remediate
- reduce attack surfaces and counter threatshttps://www.brighttalk.com/webcast/15321/244387Ronan Lavelle, General Manager EMEA, Zenedgehttps://www.brighttalk.com/webcast/15321/244387BotnetsIoTZombieArmyInformationSecurityState of Endpoint Protection & How Machine Learning Helps Stop The AttacksWed, 22 Feb 2017 12:00:00 +0000In the world of endpoint security and antivirus there no less than 37 new endpoint security products that have emerged in the past five years, each claimed to address the changing landscape, but is it all just hype?
Learn more about Machine Learning, what it is, how it works, and what else you need to protect yourself across all points of attack.
Key Learning Objectives:
•What is the state of the industry for Endpoint Protection technology
•Why machine learning is not enough
•Discover how to reduce the number of agents on your endpoint with the high-performance lightweight agent that includes advanced machine learning, exploit mitigation, antimalware, and morehttps://www.brighttalk.com/webcast/15321/244619Robert Arandjelovic & Jose Carlos Cerezohttps://www.brighttalk.com/webcast/15321/244619EndpintprotectionAIProtectionPanel Discussion - AI & Machine Learning in Cyber SecurityWed, 22 Feb 2017 11:00:00 +0000A live online panel discussion focused on the debate around AI and machine learning and how they can automate cyber security; catch more threats and malicious attacks and prove a useful weapon against cyber crime.
Panelists:
- Josh Downs, Community Manager - Information Security, BrightTALK (moderator)
- John Laliberte, VP, Endpoint and ICE, FireEye
- Natalino Busa, Head of Applied Data, TeraData
- Neil Gernon, MD, Atrovate & Founder, Dublin.AIhttps://www.brighttalk.com/webcast/15321/244487Josh Downs, BrightTALK; John Laliberte, FireEye; Natalino Busa, TeraData & Neill Gernon, AI.Dublin and Atrovatehttps://www.brighttalk.com/webcast/15321/244487AI"Cyber Security""Machine Learning"Threat